首页 | 本学科首页   官方微博 | 高级检索  
     

基于遗传算法的PID参数优化设计
引用本文:周凯汀,郑力新. 基于遗传算法的PID参数优化设计[J]. 华侨大学学报(自然科学版), 2000, 21(2): 200-204
作者姓名:周凯汀  郑力新
作者单位:1. 华侨大学电子工程系,泉州,362011
2. 华侨大学电气工程与自动化系,泉州,362011
基金项目:华侨大学校科研和教改项目,,
摘    要:提出一种新的PID参数设计方法,以模糊化的性能指标为目标函数,以设计参数的取值范围及极限性能指标为约束条件,建立优化数学模型,结果表明,在Matlab环境下,将遗传算法同Smulink仿真技术有机融合,求解该优化模型,该法能有效提高编程效率,所得优化解大大提高系统性能指标。

关 键 词:PID 参数优化设计 遗传算法 控制系统
修稿时间:1999-07-09

Optimization Design Based on Genetic Algorithm for Designing Parameters of PID controller
Zhou Kaitin,Zheng Lixin. Optimization Design Based on Genetic Algorithm for Designing Parameters of PID controller[J]. Journal of Huaqiao University(Natural Science), 2000, 21(2): 200-204
Authors:Zhou Kaitin  Zheng Lixin
Abstract:A new method of optimization design is presented for designing parameters of proportional integral differential controller. By taking fuzzy performance index as objective function and taking codomain of design parameters and limiting performance index as constraint conditions, an optimization mathematical model is formed. In the environment of Matlab, genetic algorithm is merged with simulation technigue into an organic whole for solving this optimized model. The efficiency of programming is effectively promoted, and the performance index of the system is greatly improved by the optimized solution so obtained.
Keywords:PID   optimization design of parameter   genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号