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Model Predictive Current Control of Permanent Magnet Synchronous Motor Based on Sliding‐Mode Disturbance Observer
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1 ) Pub Date : 2024-03-26 , DOI: 10.1002/tee.24051
Shuhang Ma 1 , Jinghong Zhao 1 , Lv Yang 1 , Xiangyu Luo 1 , Guangpu Ran 1
Affiliation  

A nonlinear multivariable highly coupled system that is susceptible to both internal and external perturbations is the permanent magnet synchronous motor. A new reaching law‐based control approach that combines a sliding‐mode disturbance observer and an enhanced two‐vector model predictive current control is suggested in order to enhance the dynamic performance of the permanent magnet synchronous motor and its robustness to system disturbances. First, a new reaching law is developed in this paper to resolve the conflict between the traditional reaching law's chattering of the system and the reaching time of the sliding‐mode surface. This new reaching law not only makes the system's response more rapid but also reduces chattering; second, taking into account the possibility of systems with internal parameter uptake and external load disturbance, a sliding‐mode disturbance observer based on t is developed. Finally, the q‐axis current obtained from the speed sliding‐mode control rate is added to the model predictive current control, and an optimal duty cycle model predictive current control based on space vector modulation is designed because the traditional two‐vector model predictive current control is to optimize the duty cycle and voltage vectors separately, and the switching frequency is not fixed. The method suggested in this research may successfully suppress the sliding‐mode control system chattering and increase the resilience and dynamic response performance of the speed control system, according to simulation findings compared to the traditional reaching law and traditional duty cycle. © 2024 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译:

基于滑模扰动观测器的永磁同步电机模型预测电流控制

永磁同步电机是一种容易受到内部和外部扰动的非线性多变量高耦合系统。提出了一种新的基于趋近律的控制方法,该方法结合了滑模扰动观测器和增强的双矢量模型预测电流控制,以增强永磁同步电机的动态性能及其对系统扰动的鲁棒性。首先,本文提出了一种新的趋近律来解决传统趋近律系统的抖振与滑模面的趋近时间之间的冲突。这种新的趋近律不仅使系统的响应更加迅速,而且减少了抖振;其次,考虑到系统吸收内部参数和外部负载扰动的可能性,开发了基于t的滑模扰动观测器。最后,将速度滑模控制率得到的q轴电流加入到模型预测电流控制中,针对传统的双向量模型预测电流控制,设计了一种基于空间矢量调制的最优占空比模型预测电流控制。控制是分别优化占空比和电压矢量,开关频率不固定。根据仿真结果,与传统趋近律和传统占空比相比,本研究提出的方法可以成功抑制滑模控制系统的抖振,并提高速度控制系统的弹性和动态响应性能。 © 2024 日本电气工程师协会。由 Wiley 期刊有限责任公司出版。
更新日期:2024-03-26
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