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Determination of sugar in tangerines by fluorescence with an Improved partial least squares (PLS) algorithm Meas. Control (IF 2.0) Pub Date : 2024-04-15 Lei Liu, Chunzhong Li, Haiyi Bian, Ahmed N Abdalla, Hua Yao, Wen Li
The accurate determination of sugar content in tangerines plays a pivotal role in assessing their quality, nutritional value, and marketability. Traditional methods for sugar quantification often involve time-consuming and resource-intensive processes. In this paper, we introduce a novel approach for sugar determination in tangerines utilizing fluorescence spectroscopy in conjunction with an improved
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Novel combined Shewhart-CUmulative EWMA-SUM mean charts without- and with measurement error Meas. Control (IF 2.0) Pub Date : 2024-04-15 Tahir Munir, Fahad M. Alqahtani, Afaf Alrashidi, Abdu R Rahman, Salman Arif Cheema, Yi Li
The precision of process monitoring often encounters challenges in determining the exact shift size. Therefore, combined control charts have gained considerable attention because of their excellent speed to detect simultaneously small-to-moderate and large-size shifts. The effectiveness of the applied quality control methods strongly depends on the performance of the measurement system. Measurement
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High-resolution acoustic imaging method based on equivalent source method and reweighted l1 minimization Meas. Control (IF 2.0) Pub Date : 2024-04-15 Yuan Liu, Wenqiang Liu, Yongchang Li, Dingyu Hu, Wenqian Jing
Sparse regularization has been successfully applied to equivalent source method (ESM) in order to improve the acoustic imaging resolution. However, the application is not always feasible, especially at low frequencies. To overcome the problem, this paper proposes a high-resolution acoustic imaging method. In this method, reweighted l1 minimization is introduced to ESM to deal with the ill-posed inverse
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Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression Meas. Control (IF 2.0) Pub Date : 2024-04-15 Nusrat Jahan, Tawab Bin Maleque Niloy, Jannatul Fahima Silvi, Mahdi Hasan, Ishrat Jahan Nashia, Riasat Khan
An uncontrolled fire poses severe threats to both humans and the environment, making firefighting a perilous and complex task. Traditional fire suppression methods are inefficient, costly, and without thorough testing, leading to delays in gaining control over fire outbreaks. This paper presents a novel firefighting drone aimed at mitigating risks to firefighters by extinguishing fires and providing
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Robust Kalman filter for fractional order systems with uncertain colored noise variance Meas. Control (IF 2.0) Pub Date : 2024-04-06 Guanran Wang, Xiaojun Sun
For fractional order systems with colored process noise, the discretization fractional order system model is used to construct the augmented vector defined by the state vector and colored process noise vector. Based on the augmented equation of fractional order systems, the robust local Kalman filtering algorithm for fractional order systems with colored process noise is derived. The matrix weighted
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A state estimation method based on CNN-LSTM for ball screw Meas. Control (IF 2.0) Pub Date : 2024-04-06 Lei Jianxin, Jiang Zhinong, Gao Zhilong, Zhang Wenbo
Ball screw is widely used in the engineering field, and accurate estimation of their state is crucial for the reliability of system operation. However, existing methods often overlook the time series characteristics and spatial correlation of vibration signals, unable to provide complete degradation information and divide the degradation process, resulting in limited prediction accuracy. Therefore
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Continuous finite-time terminal sliding mode to solve the tracking problem in a class of mechanical systems Meas. Control (IF 2.0) Pub Date : 2024-04-02 Raúl Rascón, Luis Moreno-Ahedo, Andrés Calvillo-Téllez
The major contribution of this study is the feedback design of a finite-time convergence sliding mode control to solve the trajectory-tracking problem in a class of mechanical systems. Some advantages are that the controller presents a continuous signal by integration of the high-frequency switching term. Another benefit is the design and implementation of an uncertainty and disturbance estimator (UDE)
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Correlation of the sound quality and vibration of end of line testing for automatic transmission Meas. Control (IF 2.0) Pub Date : 2024-03-28 Chengyun Su, Dunning Liu, Huanyu Zhao, Yanling Yuan, Tingbin Song
This paper introduces a method to quickly and accurately identify the sound quality of automatic transmission in a vehicle by testing the objective vibration parameters on automatic transmission EOL (end of line) test bench. In this study, 50 automatic transmissions serve as the research object, and the vibration parameters of each gear of the transmission are measured on the EOL bench. Then, the transmission
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Multi-objective arterial coordination control method based on induction control and vehicle speed guidance Meas. Control (IF 2.0) Pub Date : 2024-03-27 Mingjun Deng, Pengyi Li, Xinxia Hu, Liping Xu
The fixed green wave speed and staged statistical flow used in arterial signal coordination are not adaptable to the fluctuations in vehicle travel speed and traffic flow on roads, resulting in a mismatch between the signal scheme and the optimal green wave speed and traffic flow demand. This discrepancy negatively impacts the efficiency of intersection traffic. In traditional signal control systems
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A new approach to MPPT hybrid incremental conductance-sliding mode control for PV grid-connected Meas. Control (IF 2.0) Pub Date : 2024-03-26 Fethi Messaoudi, Fethi Farhani, Abderrahmen Zaafouri
As photovoltaic energy is clean, renewable, and less noisy, it is increasingly integrated into the grid. This integration aims to overcome energy deficits and get rid of pollution from conventional sources. In this paper, a two-stage configuration of PV energy conversion to a three-phase grid has been studied. The control of this configuration can be divided into two parts, such as DC bus control and
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Nonlinear control of two fingers model for movement coordination Meas. Control (IF 2.0) Pub Date : 2024-03-26 Asra Sarwat, Maryam Iqbal, Junaid Imtiaz, Muhammad Hassan Danish, Sajid Ali Khan
This research introduces an innovative methodology for the integrated modeling, simulation, and analysis of two fingers, with particular emphasis on their fundamental roles in everyday tasks. In this study, we provide two nonlinear control strategies, specifically Sliding Mode Control (SMC) and Feedback Linearization Control (FLC), to achieve accurate and stable finger movements. As mentioned earlier
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Application research on improved genetic algorithm and active disturbance rejection control on quadcopters Meas. Control (IF 2.0) Pub Date : 2024-03-25 Shui Jijun, Peng Daogang
For nonlinear, strongly coupled, underdriven quadcopters in the context of modeling complexity and demanding performance requirements for the controller, this paper proposes a strategy based on an improved genetic algorithm to optimize the active disturbance rejection control (ADRC) controller. To make the quadcopter continue to fly stably in a complex environment, the dynamics model of the quadcopter
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Optimization of ticket pricing for high-speed railway considering full competitive environment Meas. Control (IF 2.0) Pub Date : 2024-03-25 Ziqiang Hu, Yuguang Wei, Yan Xu, Huaixiang Wang, Yunhan Li, Yang Xia
The rapid development of high-speed railways (HSR) worldwide has provided a fast, convenient, safe, and comfortable mode of transportation. It is also an important public transportation tool for green travel, contributing to the reduction of carbon emissions. HSR has a strong competitive advantage in long-distance passenger transportation, but it faces significant competition from the aviation industry
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An LMI-based robust state-feedback controller design for the position control of a knee rehabilitation exoskeleton robot: Comparative analysis Meas. Control (IF 2.0) Pub Date : 2024-03-25 Sahar Jenhani, Hassène Gritli
Rehabilitation exoskeleton robots play a crucial role in restoring functional lower limb movements for individuals with locomotor disorders. Numerous research studies have concentrated on adapting the control of these rehabilitation robotic systems. In this study, we investigate an affine state-feedback control law for robust position control of a knee exoskeleton robot, taking into account its nonlinear
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Event-triggered trajectory tracking control for USV with prescribed performance and time delay based on differential flatness Meas. Control (IF 2.0) Pub Date : 2024-03-23 Yujuan Wang, Chao Shen, Hua Chen
This paper presents a trajectory tracking control scheme for underactuated surface vessels (USVs) with input delay. Firstly, the underactuated surface vessel system is transformed into a fully actuated system using differential flatness theory. To estimate the unknown nonlinear terms introduced in the transformation process, a fuzzy neural network (FNN) is employed. Secondly, to conserve control resources
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Simulation-driven fault detection for the gear transmission system in major equipment Meas. Control (IF 2.0) Pub Date : 2024-03-19 Yan Zhang, Xifeng Wang, Zhe Wu, Yu Gong, Jinfeng Li, Wenhui Dong
Scholars and engineers attach great importance to fault detection in mechanical systems due to the unpredictable faults that arise from long-term operations under complex and extreme conditions. The fact that each type of fault embodies unique characteristics makes it challenging to obtain sufficient fault samples, and conventional machine learning methods fail to provide satisfactory fault diagnosis
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A non-contact method for weighting of aggregate pile based on binocular vision Meas. Control (IF 2.0) Pub Date : 2024-03-19 Chang Su, Ziqiang Li, Zhongliang Wei, Naizhong Xu, Quan Yuan
Concrete is indispensable in contemporary industry, and the weighing of aggregates directly determines the quality of concrete preparation. In response to the difficulty of traditional methods in meeting the industrial requirements for accuracy, efficiency, and cost of measurement, this paper proposes a non-contact bone pile weight measurement method based on binocular vision. Firstly, the on-site
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Tangential velocity tracking-based cross-coupled control method with variable feedrate for biaxial parametric curve following Meas. Control (IF 2.0) Pub Date : 2024-03-18 Runji Ke, Taiyong Wang, Libo Cao
To address the inaccurate contour error calculation problem in traditional cross-coupled control (CCC) methods for biaxial motion systems, this paper presents a novel CCC method based on a recently developed tangential velocity tracking (TVT) strategy. It has the advantage that existing high-precision algorithms for searching the foot point can be directly integrated to obtain the excellent estimation
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A roundtrip probability estimation method for mechanical equipment fault detection under imbalanced samples Meas. Control (IF 2.0) Pub Date : 2024-03-15 Zhang Yuyan, Zhang Yongqi, Ming Wuyi, Li Hao, Wen Xiaoyu, Yan Lingdi
Aiming at high misdetection of mechanical faults under imbalanced samples, a roundtrip probability-based method is proposed. By roundtrip mapping between latent variables and real fault data, biased estimation of the probability distribution of real fault data is obtained. Further, virtual fault data are sampled according to such distribution to increase sample amount. For recognition of real and virtual
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Research on data mapping and fusion method of ship production workshop based on digital twins Meas. Control (IF 2.0) Pub Date : 2024-03-15 Lei Wang, Jianxun Chen, Yu Zhang, Yali Tian, Zhengyu Li, Chenghao Wang
Aiming at the problems existing in discrete manufacturing workshops of ships, such as the lack of real-time management and control ability of on-site production status, and the long time delay of real-time interaction and fusion between physical entities and virtual entities data, this paper proposes ship production workshop data mapping and fusion method based on digital twins. Taking a ship machining
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Improved windowed phase difference method for frequency estimation of distorted power signals Meas. Control (IF 2.0) Pub Date : 2024-03-14 Chengcheng Li, Yuan Wan, Pingheng Pan, Bian Hu, Junhao Zhang
Frequency is one of the most significant indicators of power system, which needs accurate estimation to provide a reliable basis for monitoring, control, and protection. Owning to the efficiency, DFT is widely used in the frequency measurement of power systems. However, the inherent defects, that is, the spectral leakage and picket fence effect, decrease the accuracy of DFT. One of the variants, named
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Global optimization of mixed integer signomial fractional programing problems Meas. Control (IF 2.0) Pub Date : 2024-03-11 Jaleh Shirin Nejad, Mansour Saraj, Sara Shokrolahi Yancheshmeh, Fatemeh Kiany Harchegani
The main issue in the present article is to investigate how to solve a mixed integer fractional signomial geometric programing problem (MIFSGP). In the first step to achieving this idea, we must convert a fractional signomial programing problem into a non-fractional problem via a simple conversion technique. Then, a convex relaxation with a new modified piecewise linear approximation with integer break
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Gearbox fault diagnosis method based on improved semi-supervised MTDL and GAF Meas. Control (IF 2.0) Pub Date : 2024-02-29 Peng Zhao, Xinyu Pang, Feng Li, Kaibo Lu, Shouxin Hu
Aiming at the problem that it takes a long time and high cost to obtain complete labeled data under intelligent fault diagnosis and unlabeled data is not used. This paper proposes an improved semi-supervised mean teacher deep learning (MTDL) and Gramian angle field (GAF) fusion diagnostic method. This method fully utilizes a small number of labeled samples and a large number of unlabeled samples to
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A fuzzy adaptive complementary filter for attitude estimation based on norm judgment Meas. Control (IF 2.0) Pub Date : 2024-02-29 Pengcheng Jiang, Chang Liu, Hua Cong, Fuqiang Zhang
Unmanned aerial vehicle (UAV) has great application prospect because of its capability of three-dimensional space operation. The reliability of attitude and heading reference system (AHRS) for UAV attitude estimation is crucial for the application of UAV. When a UAV is subjected to unknown electromagnetic interference and force interference in flight, its attitude detection system can suffer from reduced
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The nonlinear model reference adaptive impedance control for underwater manipulator operation objects in bilateral teleoperation system Meas. Control (IF 2.0) Pub Date : 2024-02-29 Jianjun Zhang, Han Li, Zhiqiang Liu, Zhonghua Wu, Jinxian Yang
The bilateral teleoperation system is susceptible to model parameter uncertainty and unknown disturbances in both the master and slave manipulators, resulting in instability and inaccuracies in the force and position tracking performance. To address these issues, a novel nonlinear model reference adaptive impedance controller has been designed to achieve coordinated force and position synchronization
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IoT-based health monitoring and fault detection of industrial AC induction motor for efficient predictive maintenance Meas. Control (IF 2.0) Pub Date : 2024-02-28 Muhammad Yousuf, Turki Alsuwian, Arslan Ahmed Amin, Sanwal Fareed, Muhammad Hamza
This research paper presents the development and implementation of an integrated condition monitoring and fault detection system for AC induction motors using a combination of sensors, GSM communication, and a cloud-based Internet of Things (IoT) platform. The proposed system aims to enhance industrial motors’ operational reliability and efficiency by providing real-time data monitoring and early fault
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Improved model-free synergetic control of permanent magnet synchronous motor using unknown input observer Meas. Control (IF 2.0) Pub Date : 2024-02-27 Xiaodong Wang, Changyin Wei, Yong Chen, Qiang Ma
Parametric uncertainties and inverter nonlinearity exist in the permanent magnet synchronous motor (PMSM) drive system, which may lead to performance degradation or failure of model-based control. This paper presents an enhanced model-free synergetic control method for PMSMs, addressing the limitations of relying on accurate motor models in existing speed control strategies. The proposed approach aims
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Bi-objective optimization modeling for biomass supply chain planning Meas. Control (IF 2.0) Pub Date : 2024-02-26 Chia-Nan Wang, Thi-Be-Oanh Cao, Duc Duy Nguyen, Thanh-Tuan Dang
Biomass energy plays an essential role in renewable energy for many reasons, such as reducing the dependence on fossil fuels and lowering greenhouse gas emissions, providing heat, electricity, and biofuels for various applications, and utilizing waste materials for helpful energy products. Besides, it can create employment opportunities and promote rural development, especially in developing countries
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An oil and gas pipeline inspection UAV based on improved YOLOv7 Meas. Control (IF 2.0) Pub Date : 2024-02-26 Yongxiang Zhao, Wei Luo, Zhiguo Wang, Guoqing Zhang, Jiandong Liu, Xiaoliang Li, Qi Wang
This study proposes a method of autonomous navigation UAV for oil and gas pipeline (OGP) dial detection based on the improved YOLOv7 model. The canny edge detection algorithm is applied in identifying the edges of the pipeline, and the Hough transform algorithm is used to detect the pipeline in a straight line. The intelligent UAV P600 is guided to patrol the oil and gas dials (OGD) along the pipeline
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Design of IoT-based solar array cleaning system with enhanced performance and efficiency Meas. Control (IF 2.0) Pub Date : 2024-02-26 Muazzam Ghafoor, Arslan Ahmed Amin, Muhammad Shoaib Khalid
Solar photovoltaic (PV) panels suffer from a reduction in performance due to dirt and environmental pollutants accumulating on their surface. As the number of solar panels installed grows, boosting their efficiency becomes more crucial to optimizing electricity output while decreasing the need for additional panels. Cleaning the PV panels can increase their efficiency, and an automated cleaning system
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Two different controllers-based DPC of the doubly-fed induction generator with real-time implementation on dSPACE 1104 controller board Meas. Control (IF 2.0) Pub Date : 2024-02-24 Mourad Yessef, Mohammed Taoussi, Habib Benbouhenni, Ahmed Lagrioui, Ilhami Colak, Hatim Ameziane, Btissam Majout, Badre Bossoufi
The direct power command (DPC) of the doubly-fed induction generators (DFIG) has garnered increasing attention due to its simplicity, ease of implementation, and fast dynamic response that distinguished it from other controls. Recently, nonlinear controllers have been suggested to improve the DPC robustness, in particular the minimization of the DFIG power fluctuations. In the present research work
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Research on path planning of tea picking robot based on ant colony algorithm Meas. Control (IF 2.0) Pub Date : 2024-02-19 Minghui Wu, Bo Gao, Heping Hu, Konglin Hong
Robot tea picking is an inevitable trend to solve the problem of tea picking, and the picking path planning is directly related to the robot picking efficiency. An Improved Ant Colony Algorithm (IACA) is proposed, which firstly introduces the adaptive adjustment mechanism into the pheromone volatilization factor of the ant colony algorithm, and then sets the pheromone volatilization factor with a high
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Research on the integrated failure analysis method of safety and security of fieldbus transmitters Meas. Control (IF 2.0) Pub Date : 2024-02-15 Xiufang Zhou, Aidong Xu, Bingjun Yan, Yue Sun, Wenbo Chen, Jiao Yang
Fieldbus transmitters are commonly used in modern industrial productions, particularly in Safety Instrumented Systems (SIS). Safety and security are critical considerations in the design and operation of these transmitters. Previous research has tended to address safety issues and security issues separately, but with the increasing complexity of network technology, it is important to analyze them simultaneously
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A temperature control algorithm for lithography machine based on generalized predictive control and BP neural network PI control Meas. Control (IF 2.0) Pub Date : 2024-02-14 Zhou Lan, Jingsong Chen, Cheng Xue, Jun Lan, Bing Wang, Yupu Wang, Yong Yang
Temperature stability is a critical factor affecting the performance of the most subsystems in the lithography system, due to the high precision and sensitivity of system components to temperature variations. The temperature control system of the lithography machine is characterized by its large inertial constant, time delay characteristics, as well as susceptibility to multiple disturbances. The temperature
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Optimal trajectory planning of robot energy consumption based on improved sparrow search algorithm Meas. Control (IF 2.0) Pub Date : 2024-02-14 Yaosheng Zhou, Guirong Han, Ziang Wei, Zixin Huang, Xubing Chen, Jianjun Wu
In order to reduce the energy consumption of the welding robot and ensure the cooperative movement of the robot joints, a trajectory planning method with optimal energy consumption based on improved sparrow search algorithm is proposed. Firstly, the trajectory planning model with optimal energy consumption is established based on the joint torque and angular velocity of the robot. To make the velocity
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Inspection of intermodular connection locations for multistory modular buildings Meas. Control (IF 2.0) Pub Date : 2024-02-14 Jae Sang Moon, Wonseok Seo, Hyeunguk Ahn, Jinyoung Kim
Modular construction is a method of construction that involves prefabricating modular indoor spaces in a factory and then assembling them at the construction site. However, dimensional errors made during production in the modular manufacturing factory may hinder assembly at the construction site and delay the entire construction process. In particular, as the quality of intermodular connections determines
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Research on anti-swing control strategies for three-dimensional overhead cranes with non-stationary enhanced swing angle suppression Meas. Control (IF 2.0) Pub Date : 2024-02-14 Dong Li, Tianhu Xie, Lu Zhang
In this paper, a non-stationary enhanced swing angle suppression control strategy is proposed to address the issue of excessive swinging angles during the transportation process of a three-dimensional overhead crane. Firstly, in response to the substantial non-stationary initial swing angle resulting from the abrupt increase in driving force during the startup of the overhead crane, we have devised
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Speed control of sensorless PMSM drive based on EKF optimized by variable scale chaotic particle swarm optimization Meas. Control (IF 2.0) Pub Date : 2024-02-14 Qiang Zhao, Zihan Zhao, Zhao Yang, Wei Liu
To investigate the parameter characteristics of permanent magnet synchronous motor (PMSM) speed sensorless vector control system and capture the noise matrices quickly and accurately in the speed estimation process of the extended Kalman filter for PMSM, The recursive least square method with forgetting factor is proposed to determine the actual parameters of the system, and then a new variable-scale
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A tightly-coupled LIDAR-IMU SLAM method for quadruped robots Meas. Control (IF 2.0) Pub Date : 2024-02-14 Zhifeng Zhou, Chunyan Zhang, Chenchen Li, Yi Zhang, Yun Shi, Wei Zhang
Aiming to address the issue of mapping failure resulting from unsmooth motion during SLAM (Simultaneous Localization and Mapping) performed by a quadruped robot, a tightly coupled SLAM algorithm that integrates LIDAR and IMU sensors is proposed in this paper. Firstly, the IMU information, after undergoing deviation correction, is utilized to remove point cloud distortion and serve as the initial value
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Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems Meas. Control (IF 2.0) Pub Date : 2024-02-14 Habib Benbouhenni, Laurentiu-Mihai Ionescu, Alin-Gheorghita Mazare, Dalal Zellouma, Ilhami Colak, Nicu Bizon
Reactive and active power vector control of induction generators (IG) are essential requirements for generating high-quality electricity from wind power. These control objectives are challenging and difficult to achieve when using traditional strategies based on estimating reactive/active power, hysteresis comparators, and proportional-integral (PI) regulators due to load variations, changes in the
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Underactuated unmanned surface vehicles formation of obstacle avoidance and assembly: A disturbed fluid-based solution Meas. Control (IF 2.0) Pub Date : 2024-02-14 Yiping Liu, Jianqiang Zhang, Bowen Sui, Yuanyuan Zhang
Unmanned surface vehicles (USVs) are highly manoeuvrable and autonomous, and hold significant potential for both military and civilian applications, particularly in formation operations. However, because of their underactuated nature, USVs struggle to navigate in complex maritime conditions during formation. At present, most of the technology is devoted to Unmanned Areial Vehicles and ground robots;
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Precise path planning and trajectory tracking based on improved A-star algorithm Meas. Control (IF 2.0) Pub Date : 2024-02-14 Boyang Xu
Path planning and trajectory tracking are very meaningful for the field of autonomous driving, but currently path planning still has problems such as non-optimal paths and insufficiently accurate paths. This paper addresses the issue of path planning by proposing a improved A-star algorithm and locally zooming on the map technique to achieve precise path planning. Compared with the conventional method
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Fractional order second-order sliding mode MRASO for SPMSM Meas. Control (IF 2.0) Pub Date : 2024-02-12 Jun-Feng Liu, Yuan Feng, Jian-Yong Yu, Jing-Wei Tang, Lei Zhang
To improve the accuracy of the sensorless control system for permanent magnet synchronous motors, this paper proposes the based on fractional order integral sliding mode theory in the model reference adaptive system observer. The purpose of this approach is to enhance the robustness of the system. Furthermore, this paper introduces the second-order sliding mode reaching law to suppress chattering phenomena
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Research on the influence factors of hydraulic oscillator on drag reduction efficiency in horizontal well drilling Meas. Control (IF 2.0) Pub Date : 2024-02-12 Ni Weijun, Yang Guohao, Ma Chengyun, Liu Gang, Ma Fei, Zhao Kai
The application of hydraulic oscillator can solve the problems of large friction and serious pressure support in the drilling process of extended reach well and long horizontal well, but the conventional hydraulic oscillator parameter setting is not reasonable, high pressure consumption, easy to make the ground machine pump overload operation and failure. Therefore, based on the LuGre dynamic friction
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Underwater terrain-matching algorithm based on improved iterative closest contour point algorithm Meas. Control (IF 2.0) Pub Date : 2024-02-12 Dan Wang, Liqiang Liu, Yueyang Ben, Ping’an Dai, Jiancheng Wang
Although an autonomous underwater vehicle (AUV) is noted for its good autonomy, concealment and anti-interference ability, errors in its inertial navigation system (INS) inevitably increase over time, leading to positional failure during long-term voyages. Terrain-assisted navigation can help the INS to correct its position. The traditional iterative closest contour point (ICCP) achieves high matching
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Study on correlation prediction model for static explosion and dynamic explosion shock wave pressure Meas. Control (IF 2.0) Pub Date : 2024-02-12 Liangquan Wang, Deren Kong
In actual combat, the attack of the warhead on the target is a dynamic process, and there is a significant difference in shock wave pressure between dynamic and static explosions of ammunition, while dynamic explosions are more in line with actual combat situations. Therefore, conducting research on the distribution law of dynamic explosion shock wave pressure in ammunition has more practical value
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A novel method for measuring the width and angle of corrosion in Hall thrusters using three-dimensional point cloud Meas. Control (IF 2.0) Pub Date : 2024-02-07 Zhi-Feng Zhou, Lie-Quan Wu, Chong-Yang Wang
Hall thrusters are electric propulsion devices that are widely used in modern spaceflight. To obtain the critical corrosion data effectively and accurately during long-life tests of Hall thrusters, this paper proposes an automated corrosion measurement method based on three-dimensional point cloud technology. This method uses binocular structured light scanning method to obtain surface point cloud
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A proposed method for quality evaluation of COVID-19 reusable face mask Meas. Control (IF 2.0) Pub Date : 2024-02-05 Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Hossein Ahmadi, Mesfer Alrizq, Abdullah Alghamdi, Omar A. Alghamdi, Sultan Alyami
During the time of COVID-19, the use of face masks has become an essential control and prevention measure. The wide usage of disposable face masks has presented a great challenge to governments to face the impact of plastic waste on humans health and the environment. The quality of reusable face masks was assessed in previous research based on general measures such as the fabric, size fit, arrival
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Solutions to the output regulation problem of time-varying descriptor systems Meas. Control (IF 2.0) Pub Date : 2024-02-05 Xiaoming Su, Wenai Liu, Adiya Bao
This paper studies the output regulation problem of time-varying descriptor systems and the problem of designing state feedback and dynamic measurement output feedback control laws which asymptotically achieves output regulation and disturbance rejection is considered. New regulator equations are proposed for time-varying descriptor systems in the form of differential-algebraic matrix equations. The
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Fixed time containment control of multi-agent system under multi-source mismatched disturbance Meas. Control (IF 2.0) Pub Date : 2024-02-01 Cheng Xiang, He Jing, Zhang Changfan, Hu Xinliang, Zhang Miaoying
Aiming at the cooperative control problem of multi-agent system, the fixed-time containment control of general second-order multi-agent system under mismatched disturbances is studied. Firstly, the problem of multi-agent system fixed-time containment control in ideal state is analyzed, and a distributed control protocol based on variable structure control is proposed. Then, a nonlinear fixed-time disturbance
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A fast-response active disturbance rejection control for a class of nonlinear uncertain systems Meas. Control (IF 2.0) Pub Date : 2024-01-31 Wei Wei, Bowen Duan, Weicun Zhang, Min Zuo
The nonlinear system control is a classical problem in control engineering. In this paper, rather than try to get accurate nonlinear dynamics, the nonlinear and uncertain dynamics are viewed as a signal. It can be estimated by an extended state observer, and compensated by a control law. Accordingly, the nonlinear uncertain system is linearized. Based on the linearized system and the key point of the
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Optimal design of Luenberger reduced-order observer with low sensitivity for linear multivariable systems Meas. Control (IF 2.0) Pub Date : 2024-01-31 Fu-I Chou
For the linear multivariable systems, by combining both merits of orthogonal-function approach and evolutionary optimization, in this paper, a new method is presented for designing a Luenberger reduced-order observer to solve the low-sensitivity design issue for physical system parameter deviation and simultaneously to minimize a measurement of the quadratic performance for reducing state transient
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A multi-setpoint cooling control approach for air-cooled data centers using the deep Q-network algorithm Meas. Control (IF 2.0) Pub Date : 2024-01-31 Yaohua Chen, Weipeng Guo, Jinwen Liu, Songyu Shen, Jianpeng Lin, Delong Cui
Cooling systems provide a safe thermal environment for the reliable operation of IT equipment in data centers (DCs) while generating significant energy consumption. Therefore, to achieve energy savings in cooling system control under dynamic thermal distribution in DCs, this paper proposes a multi-setpoint cooling control approach based on deep reinforcement learning (DRL). Firstly, a thermal model
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Mask wearing detection algorithm based on improved YOLOv7 Meas. Control (IF 2.0) Pub Date : 2024-01-17 Fang Luo, Yin Zhang, Lunhui Xu, Zhiliang Zhang, Ming Li, Weixiong Zhang
The ongoing COVID-19 pandemic remains a significant threat, emphasizing the critical importance of mask-wearing to reduce infection risks. However, existing methods for mask detection encounter challenges such as identifying small targets and achieving high accuracy. In this paper, we present an enhanced YOLOv7 model tailored for mask-wearing detection. we employing a Generative Adversarial Network
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A coaxial multi-ring detection method for measuring the pitch and thickness accuracy of cylindrical gears Meas. Control (IF 2.0) Pub Date : 2024-01-17 Dehai Zhang, Junheng Li, Yanqin Li, Chao Wu, Tao Wang, Zhicheng Zhang, Xin Yin, Hongshuai Hu
Performance of gear transmissions affects the performance of mechanical equipment. It is necessary to develop more reliable gear pitch and tooth thickness accuracy detection methods in order to evaluate gear transmission performance and detect gear pitch and tooth thickness accuracy more accurately. Based on the basic theory of gears, binocular vision technology, and statistical principles, a new method
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Automatic tracking and intelligent observation of tidal bore propagation velocity based on UAV and computer vision Meas. Control (IF 2.0) Pub Date : 2024-01-10 Xiujuan Zhang, Guangjie Zhan, Tao Ding, He Jiang, Yaqin Wang, Yi Zhang, Li Liu
The rapidly developed Unmanned Aerial Vehicles (UAV) and artificial intelligence technology has prompted the real-time and accurate observation measurements of tidal bore, the basis of which is tidal bore propagation velocity. In this article, we construct a tidal observation system framework based on UAV and computer vision in order to obtain the tidal bore propagating velocity datasets. Firstly,
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Multiple mobile robots motion control based on screw theory for aircraft panel assembly Meas. Control (IF 2.0) Pub Date : 2024-01-05 Rupeng Li, Lei Xue, Xingwei Zhao, En-de Ge, Bo Tao
As a crucial component of large aircraft, the assembly efficiency of aircraft skins directly impacts production efficiency. To achieve efficient manufacturing of aircraft skins, this paper proposes a multiple mobile robot control algorithm based on screw theory. The robot arm is integrated into a rail or AGV to increase its motion space, creating a mobile robot assembly system. To address the redundant
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Research on improved modal parameter identification method using Hilbert-Huang transform Meas. Control (IF 2.0) Pub Date : 2023-05-16 Mingjin Zhang, Hongyu Chen, Tingyuan Yan, Hao Sun, Lianhuo Wu
In the wind tunnel test, the full-bridge aeroelastic model needs to simulate both the shape and dynamic characteristics of the real bridge, and modal parameters are key dynamic parameters. Therefor...
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The Single-channel blind source separation based on VMD and Tukey M estimation for rolling bearing composite fault diagnosis Meas. Control (IF 2.0) Pub Date : 2023-05-15 Yaping Wang, Qisong Zhang, Ruofan Cao, Sheng Zhang, Shisong Li, Di Xu
Rolling bearing is one of the core components in rotating machinery, and its running status directly affects the operation of the whole equipment. Faults of rolling bearings in the actual working p...
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Research on image enhancement algorithm for the monitoring system in coal mine hoist Meas. Control (IF 2.0) Pub Date : 2023-05-09 Wei Zhang, Dongsheng Zuo, Congjiao Wang, Bing Sun
As the mine hoist monitors video images with poor light, low brightness, heavy dust, and low contrast, the monitoring video images are not conducive to monitoring. They cannot meet the needs of app...