基于PSO的模糊PID车载平台调平控制系统研究

为解决车载平台调平控制系统响应速度慢、自适应能力差的问题,对一款液压马达带动滚珠丝杠的调平支腿,建立其数学模型,提出了基于粒子群优化(Particle Swarm Optimization,PSO)的模糊比例积分微分(Proportional Integral Derivative,PID)控制方案.通过结合PSO算法...

Research on leveling control system of fuzzy PID vehicle-mounted platform based on PSO

In order to solve the problem of slow response speed and poor adaptive ability of the vehicle-mounted platform leveling control system,a mathematical model of the leg was established,and a fuzzy Proportional Integral Derivative(PID)control scheme based on Particle Swarm Optimization(PSO)was proposed,for the leveling leg of a ball screw driven by a hydraulic motor.By combining the iterative optimization capability of the PSO algorithm,the quantization factor and scale factor in the traditional fuzzy PID controller were intelligently adjusted,and then the PID parameters were adjusted online through the fuzzy control.Simulink components were used to establish a model of the fuzzy PID control system based on the PSO algorithm for leveling legs.The simulation results show that the fuzzy PID control optimized by the PSO algorithm has better control accuracy and stability than the traditional fuzzy PID control and PID control.It can better improve the performance index of the system,meet the requirements of fast and efficient leveling,and provide a certain reference for the leveling control of the vehicle-mounted platform.