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Active force control with iterative learning control algorithm applied to vehicle suspension system

机译:迭代学习控制算法的主动力控制在车辆悬架系统中的应用

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摘要

The paper introduces a new control method to a passenger vehicle active suspension system using Active Force Control (AFC) integrated with Iterative Learning Control (ILC) algorithm and the classic proportional-integral-derivative (PID) control known as the AFCIL control scheme. The overall control system consists of three feedback control loops, namely, the innermost loop for the force tracking of the pneumatic actuator using proportional-integral (PI) controller, the intermediate loops applying AFC with iterative learning algorithm for the compensation of the disturbances, and the outermost loop using PID controller for the computation of the desired force. A study is carried out both via simulation and experimental approaches. The simulation was done using MATLAB/Simulink software with Control System Toolbox (CST) and the experiment was carried out on a physical quarter car test rig with hardware-in-the-loop simulation (HILS) feature that fully incorporates the underlying theoretical elements. The performance of the AFCIL scheme was evaluated and compared with the pure PID controller and passive counterpart to examine the effectiveness of the system in suppressing the vibration effect of the suspension system that may improve the riding comfort performance. Both simulation and experimental results show that the AFCIL scheme is much superior compared to the PID and passive counterparts.
机译:本文介绍了一种将主动力控制(AFC)与迭代学习控制(ILC)算法集成在一起并采用经典比例积分微分(PID)控制技术(称为AFCIL控制方案)的乘用车主动悬架系统的新控制方法。整个控制系统由三个反馈控制回路组成,分别是用于使用比例积分(PI)控制器对气动执行器进行力跟踪的最内部回路,使用AFC和迭代学习算法补偿干扰的中间回路,以及最外层的回路使用PID控制器来计算所需的力。通过模拟和实验方法进行了研究。使用带有控制系统工具箱(CST)的MATLAB / Simulink软件进行了仿真,并在具有硬件在环仿真(HILS)功能的物理四分之一汽车试验台上进行了实验,该功能充分结合了基础理论要素。对AFCIL方案的性能进行了评估,并将其与纯PID控制器和被动对等部件进行比较,以检验该系统在抑制悬架系统的振动效果(可改善乘坐舒适性)方面的有效性。仿真和实验结果均表明,与PID和被动对等方法相比,AFCIL方案要优越得多。

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    R. Rosli; M. Mailah;

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  • 年度 2013
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