一种PID参数整定的粒子群优化算法

提出了一种PID控制器参数整定的粒子群优化算法。该方法首先通过定义一个包含系统超调量、上升时间和稳态误差指标项的适应度函数,并根据系统的实际控制要求对各指标项适当加权。之后由带收缩因子的粒子群算法对PID进行多目标寻优,从而实现PID控制器的自动参数整定。仿真结果表明,该方法优化得到PID控制器的综合性能优于常规方法得到的PID控制器。

Particle swarm optimization algorithms for parameter tuning of PID controllers

A particle swarm optimization algorithms for parameter tuning of PID controllers is proposed.First,a fitness function which includes some terms represent overshoot,rise time and steady error of the system is defined,and the terms are weighted properly.Then the particle swarm optimization algorithms with a constriction factor is used for multi-objective optimization of PID controllers,and the auto parameter tuning of PID controllers can be realized.Simulation results show that the synthesized performance of PID controllers obtained by the proposed method superior to that by standard methods.