摘要
PID控制器存在着跟踪设定值与抑制扰动之间、鲁棒性与控制性之间未能很好解决的矛盾,对此,采用抗原和抗体混合编码方法计算抗体浓度,用免疫遗传算法思想对PID参数进行优化,提出一种基于混合编码的PID参数优化算法。仿真结果表明,这种优化算法加快了收敛到最优参数的速度,有效提高了系统的全局稳定性,增强了PID控制器的鲁棒性。
Considering that it is difficult to solve conflicts between track and restrain disturbance, robustness and control performance, a PID parameter optimization algorithm, which uses the idea of immune genetic algorithm, is proposed in this paper. This new algorithm uses a mix coding of antibodies and antigen to calculate concentration of mix-antibody, and it can converge to the optimum parameters efficiently according to the given controlled system. The simulation results point to the advantages of small overshoot and short setting-time in controlling close loop and pure time-delay system. This method improves the convergent speed, the global stability and robustness of the PID controller significantly.
出处
《武汉科技大学学报》
CAS
2006年第3期313-315,共3页
Journal of Wuhan University of Science and Technology
基金
广州市科技局科技攻关引导资助项目(2003Z3-D0091)
关键词
人工免疫
混合抗体
PID控制器
参数优化
artificial immune
mix-antibody
PID controller
parameter optimization
