The control design of transverse interconnected electronic control air suspension based on seeker optimization algorithm

Abstract

In this paper, in the light of the problems of the traditional air suspension PID controller in the process of body height adjustment, such as the adjustment time is too long, the overshoot phenomenon is obvious, and the control parameters cannot be adjusted in real time, a PID transverse interconnected electronic control air suspension(TIECAS) system controller based on seeker optimization algorithm (SOA) is designed, the proportion factor of PID is optimized by crowd search algorithm and get the optimal solution of PID controller parameters. The control system model is built in $\mathrm{Matlab}/\mathrm{Simulink}$ simulation software. The simulation results show that the PID lateral interconnected air suspension controller based on SOA has faster response and avoids overshoot than the traditional PID controller. The control system was tested on a self-developed test vehicle with TIECAS structure. The test results show that the root mean square(RMS) values of the roll angle and pitch angle of the test vehicle are reduced from $0.024\mathrm{rad}$ and $0.018\mathrm{rad}$ before control to $0.019\mathrm{rad}$ and $0.012\mathrm{rad}$ , respectively, by $27.0\mathrm{\%}$ and $35.8\mathrm{\%}$ . The RMS values of the vertical acceleration of the center of mass after control are reduced by $27.6\mathrm{\%}$ and $42.4\mathrm{\%}$ compared with that without control, effectively improve the ride comfort and operation stability of the vehicle, The research results provide a new idea for the control of the vehicle transverse interconnected electronic air suspension system.