基于粒子群算法的汽车电子节气门控制策略研究

摘要

汽车电子节气门控制系统是一个变化的复杂性的过程,由于电子节气门受到不稳定等因素的影响,常规PID控制策略很难达到理想的效果。采用粒子群（PSO）优化算法来优化PID控制器,设计出PSO-PID复合控制策略。完成了电子节气门PSO-PID控制器参数的设置及算法流程的设计,通过仿真分析出：电子节气门的PSO-PID复合控制策略可以减小控制系统的超调,减小瞬态误差,缩短滞后时间,适用于电子节气门控制系统。%Automobile electronic throttle control system is a changeable and complicated process.It is difficult for the conventional PID control strategy to achieve the ideal effect due to the impacts of some unstable factors.In the paper,the PID controller was optimized based on the particle swarm optimization(PSO) algorithm and the PSO-PID compound control strategy was designed.The parameter setting and algorithm process design for the electronic throttle PSO-PID controller was completed.The simulation analysis showed that the electronic throttle PSO-PID compound control strategy can reduce the overshoot of the control system decrease the transient error,and shorten the time lag,which is applicable to the electronic throttle control system.