Optimal Control Method Of Automotive Electronically Controlled Air Suspension

Automotive electronically controlled air suspension has a direct impact on vehicle handling stability,driving smoothness and ride comfort.At present,it has been widely concerned and studied by industry and academia.In this paper,the air suspension is taken as the research object,and the modeling and optimal control method of the suspension system are studied.The optimal control method of the air suspension system is proposed,which is composed of LQG optimal controller,damper force-current conversion module and fuzzy controller.The main contents are as follows:(1)According to the operating mechanism of the air suspension,a dynamic model of the semi-active air suspension with two degrees of freedom is established.The filtered white noise is used as the road input,and the road surface input simulation model is established.(2)Based on the above model and aiming at improving vehicle handling stability,driving smoothness and ride comfort,an optimization control method of air suspension is designed,which consists of LQG optimal controller,damper force-current conversion module and fuzzy controller.The control method can automatically adjust shock absorber damping force according to vehicle running status,thus the optimal control target of the suspension is achieved.(3)The hardware-in-the-loop simulation software of semi-active air suspension is designed and developed by using dSPACE real-time simulation system.By running CarSim vehicle model and Simulink simulation control system model in real time,the hardware-in-the-loop simulation analysis of 1/4 vehicle air suspension is carried out to verify the feasibility and validity of the proposed algorithm.Aiming at the dynamic characteristics of automotive electronically controlled air suspension and aiming at improving vehicle handling stability,driving smoothness and ride comfort,the suspension optimization control method is designed and the experimental results are obtained in this paper.The work of this paper provides a good reference for advanced automotive control methods and technologies.