基于自适应蚁群算法的PID控制器设计

摘要

针对传统的比例积分微分控制器(PID)参数整定多采用经验试凑不能得到最佳控制性能的问题,提出一种基于自适应蚁群算法的PID控制参数整定方法(AACO-PID),以增强控制器的自适应能力.仿真结果表明,AACO-PID控制方法具有调节时间短、超调量小、响应速度快等特点.与传统PID和ACO-PID相比,使用AACO-PID的系统具有更快的响应速度和稳定精度.%To settle the problem of imperfect control performance from the traditional PID controller parameter setting with manual cut-and-try method,a parameter setting method based on adaptive ant colony optimization( AACO-PID) was proposed to enhance the capacity of adaptive controller.The simulation result shows that AACO-PID control method has shorter setting time, less overshoot and higher response speed.Compared with the traditional PID control and basic ACO-PID,the system has higher response speed and steady-state accuracy using AACO-PID.