Artificial immune networks algorithm based on vector distance used for optimizing PID controller parameters

doi:10.3778/j.issn.1002-8331.2009.12.068

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (12): 212-213.DOI: 10.3778/j.issn.1002-8331.2009.12.068

• 工程与应用 • Previous Articles Next Articles

Artificial immune networks algorithm based on vector distance used for optimizing PID controller parameters

SHENG Meng-gang,HUANG Hui-xian

College of Information Engineering，Xiangtan University，Xiangtan，Hunan 411105，China

Received:2008-05-26 Revised:2008-08-27 Online:2009-04-21 Published:2009-04-21
Contact: SHENG Meng-gang

基于矢量矩免疫遗传算法的PID参数整定

盛孟刚,黄辉先

湘潭大学信息工程学院，湖南湘潭 411105

通讯作者: 盛孟刚

Abstract

Abstract: There are inherent conflicts between track and restrain disturbance，between robustness and control performance when PID controller is applied to uncertain systems.To solve this problem，a novel PID parameter optimization algorithm，which uses the idea of immune genetic algorithm，is proposed.This new algorithm calculates the definition of antibody based on the vector distance.The simulation results point that this method improves the convergent speed，the global stability and robustness of the PID controller significantly.

Key words: immune genetic algorithm, vector distance, PID controller, parameter optimization

摘要： 对于不确定系统，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的矛盾，对此，提出采用基于矢量矩方法计算抗体浓度，用免疫遗传算法思想对PID参数进行优化，提出了一种基于矢量矩的免疫遗传算法的PID参数优化控制方法。仿真结果表明，这种优化算法加快了收敛速度，有效提高了系统的全局稳定性，增强了PID控制器的鲁棒性。

关键词: 免疫遗传算法, 矢量矩, PID 控制器, 参数优化

SHENG Meng-gang,HUANG Hui-xian. Artificial immune networks algorithm based on vector distance used for optimizing PID controller parameters[J]. Computer Engineering and Applications, 2009, 45(12): 212-213.

盛孟刚,黄辉先. 基于矢量矩免疫遗传算法的PID参数整定[J]. 计算机工程与应用, 2009, 45(12): 212-213.

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Artificial immune networks algorithm based on vector distance used for optimizing PID controller parameters

基于矢量矩免疫遗传算法的PID参数整定

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