Fuzzy PID Control of Single Chamber Semi active Hydro-pneumatic Suspension Based on GA Optimization

Semi active hydro-pneumatic suspension can improve the road support and ride comfort of the suspension system while considering manufacturing costs. Single chamber hydro-pneumatic suspension can achieve the purpose of adjusting damping force by adjusting the volume of hydro-pneumatic, and can reliably control semi-active suspension systems in practical engineering. This article first establishes a nonlinear mathematical model of a single chamber hydro-pneumatic suspension, and uses the designed fuzzy PID control to control the single chamber hydro-pneumatic suspension system. It was found that due to the dependence on expert experience in fuzzy PID control, the control effect is not significant. To improve the control effect, genetic algorithm is used to optimize the fuzzy PID correction coefficient and quantization factor, and control the single chamber hydro-pneumatic suspension. The dynamic simulation software Matlab/Simulink is applied for simulation. The simulation results show that when the simulated vehicle is driving on a D-level road at a speed of 12.5 m/s, the semi-active hydro-pneumatic suspension under fuzzy PID control after genetic optimization is superior to traditional passive hydro-pneumatic suspension in attenuating vehicle vibration and improving vehicle smoothness.