| 基于一种人工免疫算法的PID参数优化 |
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| 引用本文： | 陈少白,谭光兴,毛宗源.基于一种人工免疫算法的PID参数优化[J].武汉科技大学学报(自然科学版),2006,29(3):313-315. |
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| 作者姓名： | 陈少白 谭光兴 毛宗源 |
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| 作者单位： | 1. 武汉科技大学理学院,湖北,武汉,430081;华南理工大学自动化科学与工程学院,广东,广州,510640
2. 华南理工大学自动化科学与工程学院,广东,广州,510640 |
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| 基金项目： | 广东省深圳市科技局资助项目 |
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| 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。
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| 关 键 词： | 人工免疫 混合抗体 PID控制器 参数优化 |
| 文章编号： | 1672-3090(2006)03-0313-03 |
| 收稿时间： | 2005-12-21 |
| 修稿时间： | 2005年12月21 |
Optimizing Parameters of PID Controller Based on an Immune Networks Model |
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| CHEN Shao-bai,TAN Guang-xing,MAO Zong-yuan.Optimizing Parameters of PID Controller Based on an Immune Networks Model[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2006,29(3):313-315. |
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| Authors: | CHEN Shao-bai TAN Guang-xing MAO Zong-yuan |
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| Institution: | 1. Wuhan University of Science and Technology, Wuhan 430081, China; 2. South China University of Technology, Guangzhou 510640, China |
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| Abstract: | 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. |
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| Keywords: | artificial immune mix-antibody PID controller parameter optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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