Affiliations: [a] School of Mechanical Engineering and Automation, Northeastern University, Shenyang, P.R. China | [b] Department of Electromechanical Engineering, University of Macau, Taipa, Macau, P.R. China | [c]
Automotive Engineering Institute, Guangzhou Automobile Group Co., LTD, Guangzhou, P.R. China | [d] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, P.R. China
Correspondence:
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Corresponding author. Zhengchao Xie, School of Mechanical and Automotive Engineering, South China University of
Technology, Guangzhou, China. E-mail: zxie@scut.edu.cn.
Abstract: The active suspension system has been widely used due to its superiorities in improving the dynamic performance of the vehicle, and various attempts have been done on the development of the control algorithms. In this paper, a new integrated controller is proposed for the active suspension system of heavy vehicles. To verify the proposed control strategy, a half-car model is constructed first, together with the design of wheelbase preview algorithm and the wavelet noise filter in order to enhance the performance of the proposed controller. First, the road input information from the front suspension is collected as preview information to the rear suspension. Then, with given preview information and the feedback signal of vehicle state, an integrated fuzzy-PID controller is designed to generate the active force of rear suspension so as to attenuate the suspension vibration. Besides, the proposed control strategy also includes a wavelet noise filter to suppress the sensor noise. The evaluation results show that the ride quality, road holding performance, pitch acceleration and suspension deflection are superior to that of the conventional single controller, and the proposed wheelbase preview algorithm and wavelet noise filter are effective in improving the vehicle dynamic performance.
