Robust Predictive Control Based on LMI Optimization for Active Suspension System

3rd International Conference on Automation, Control and Robotics Engineering

工业技术;计算机科学;无线电电子学

Peng, Hao^1 ; Jiang, Hao^1 ; Dian, Songyi^1

College of Electrical Engineering and Information Technology, Sichuan University, Chengdu

610065, China^1

关键词: Active suspension;    Constrained systems;    Control methods;    LMI optimization;    Longitudinal acceleration;    Practical engineering;    Robust predictive control;    Stability control;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/428/1/012037/pdf
DOI  :  10.1088/1757-899X/428/1/012037

来源: IOP

【 摘 要 】

The vehicle will inevitably be vibrated in the process of running. The suspension is an important device to ensure the comfort and safety of the vehicle. In order to study the control method of the suspension, we simulate a quarter of the active suspension device which uses longitudinal acceleration as a measurement index. we compare the control effect of traditional PID control with robust predictive control. Through simulation, we find that the traditional PID control can realize the stability control of the active suspension without constraints. However, on the one hand, it brings serious jitter, on the other hand, it is not suitable for the actual constrained situation. On this basis, we consider the robust predictive control with constraints. By means of simulation, we obtain that the robust predictive control can produce less jitter under the premise of achieving the stable control of the constrained system, which is more suitable for practical engineering requirements.