To improve the performance and durability of vehicle components, efforts have been made to reduce driveline oscillations using advanced active control algorithms. However, existing methods often rely on subjective parameter adjustments, which can be burdensome for designers. This study introduces an effective tuning algorithm for a driveline vibration controller that accounts for nonlinear backlash effects. Initially, a driveline dynamics model is developed to focus on transient oscillations resulting from changes in driving force and the presence of nonlinear backlash. The backlash impact is incorporated into the model through a discontinuous dead-zone region. Two operational dynamics, which are the contact mode and the backlash mode, are considered. A dynamic output feedback [Formula: see text] controller is designed as a baseline controller to mitigate low-frequency resonance in the driveline. A solution for managing the nonlinear backlash challenges is introduced, involving the use of a simple control mode switching algorithm in conjunction with the controller. This algorithm relies on a time-dependent-switched Kalman filter. Additionally, the optimal settings for the parameters needed by the mode-switching algorithm are autonomously determined using the grey wolf optimizer (GWO). The proposed active controller can be implemented in real vehicles by using an on-vehicle acceleration sensor and electronic control unit (ECU). In a simulation environment, the vehicle body vibration is online fed back to the resultant controller, and an actuator is supposed to apply control commands to the driveline. The effectiveness of this newly proposed active controller is confirmed through comparative tests, revealing the superior vibration control.

中文翻译：

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灰狼优化调谐传动系统振动控制器，具有使用时变切换卡尔曼滤波器的间隙补偿策略

为了提高车辆部件的性能和耐用性，人们努力使用先进的主动控制算法来减少传动系统振荡。然而，现有的方法往往依赖于主观参数调整，这对于设计人员来说可能是一个负担。本研究介绍了一种有效的传动系统振动控制器整定算法，可解决非线性齿隙效应。最初，开发了传动系统动力学模型，重点关注由驱动力变化和非线性齿隙的存在引起的瞬态振荡。间隙影响通过不连续的死区区域纳入模型中。考虑两种运行动态，即接触模式和间隙模式。动态输出反馈[公式：参见文本]控制器被设计为基线控制器，以减轻传动系统中的低频共振。介绍了一种用于管理非线性齿隙挑战的解决方案，包括将简单的控制模式切换算法与控制器结合使用。该算法依赖于时间相关的切换卡尔曼滤波器。此外，模式切换算法所需参数的最佳设置是使用灰狼优化器（GWO）自主确定的。所提出的主动控制器可以通过使用车载加速度传感器和电子控制单元（ECU）在真实车辆中实现。在仿真环境中，车身振动在线反馈到最终的控制器，并且执行器应该向传动系统应用控制命令。通过比较测试证实了这种新提出的主动控制器的有效性，揭示了优越的振动控制。