基于微粒群优化的模型参考自适应控制

Model reference adaptive control based on particle swarm optimization algorithm

针对复杂非线性对象提出了一种基于微粒群优化（PSO）的PID自适应控制方法。通过运用PSO算法对PID控制器参数进行在线调整，使模型参考自适应控制达到理想的控制效果。将该方法引入到连续搅拌反应釜这一复杂的非线性系统，仿真结果表明了该方法的良好性能。

Aiming at the complex nonlinear system, a PID self-adaptive control method based on the PSO algorithm is stated in the paper. Using the PSO algorithm to optimize the on-line PID controller＇s parameters, desirable control effect is obtained. An application of this method to the control of the continuous Stirred Tank Reactor（CSTR） system which is a complex nonlinear system is studied. Simulation results show the validity of the method.