Research On Control Algorithm Of Regenerated Suspension

Ride comfort and energy recovery efficiency are both the most important problems in the research of regenerated suspension.In this paper,two kinds of control algorithms are designed,both of which adopt the double-layer control strategy.The upper layer adopts the LQR control algorithm based on genetic algorithm and the output feedback control algorithm based on extended LMI,while the lower layer adopts the back-stepping method to realize the tracking of the output of the upper layer controller by the actuator.In order to better coordinate the relationship between ride comfort and energy recovery,three performance optimization schemes are proposed in this paper:（1）Only ride comfort is considered;（2）Consider both ride comfort and factors affecting energy recovery;（3）Consider ride comfort,energy consumption and factors affecting energy recovery.The designed controller has the characteristics of easy physical realization,comfort and energy recovery,and is of great significance in practical application.On this basis,considering the two points below:1.The damping elements and elastic elements in the suspension system will wear and age with the increase of the service time of the suspension,causing the parameter disturbance problem in the suspension system.2.When the vehicle is in use,sudden changes occur to the sprung mass of the vehicle due to changes in the number of passengers,the placement of articles in the vehicle and other factors.In order to solve this problem,the multi-cell linear variable parameter variable gain（LPV）H_∞/generalizedH₂ output feedback control algorithm is adopted to design the controller to meet the requirements of active control.By Matlab simulation analysis,the dynamic performance,time-domain constraint and energy feed effect of the designed controllers are compared,and the effectiveness of the controller is finally verified.