《计算机应用研究》|Application Research of Computers

一种新型人工免疫算法的PID自整定研究

Novel Artificial Immune Algorithm for PID Selftuning

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作者 刘屿,田联房,毛宗源
机构 华南理工大学 自动化科学与工程学院,广东 广州 510641
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文章编号 1001-3695(2007)04-0083-03
DOI 10.3969/j.issn.1001-3695.2007.04.022
摘要 提出了一种人工免疫诱导算法(AIIA),用于实现PID参数自适应整定计算。阐述了人工免疫系统的原理,深入剖析了PID参数自适应整定模型,设计了该模型的人工免疫诱导算法。实验表明,该算法具有快速收敛性,能够较快地找到PID参数自适应整定的最优或次最优参数组合,有利于提高PID控制器调节的实时性。同时,将该算法(AIIA)与GA算法、齐格勒—尼柯尔斯(ZN)方法、ISTE方法进行了比较。仿真结果表明了该算法的优越性和实用性。
关键词 人工免疫系统;诱导;PID整定;自适应
基金项目 国家自然科学基金资助项目(30570458); 广东省自然科学基金资助项目(05006530); 广东省科技攻关计划资助项目(2005B10201006)
本文URL http://www.arocmag.com/article/1001-3695(2007)04-0083-03.html
英文标题 Novel Artificial Immune Algorithm for PID Selftuning
作者英文名 LIU Yu, TIAN Lian-fang, MAO Zong-yuan
机构英文名 College of Automation Science & Engineering, South China University of Technology, Guangzhou Guangdong 510641, China
英文摘要 A novel Artificial Immune Induction Algorithm(AIIA) was proposed, which was applied to the selftuning of PID parameters. The basic theories of the artificial immune system and PID controller were given in brief, and the AIIA for the selftuning of the PID parameters was then designed. This algorithm showes the advantage of fast convergence and can be utilized to quickly locate the optimal or suboptimal parameters of PID controller. The comparisons were conducted among the proposed algorithm and other three conventional methods, including GA, ZN and ISTE. Simulation results demonstrates the excellent performance and the practicability of the proposed algorithm.
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页码 83-85
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文献标志码 A