[1]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.[doi:10.3969/j.issn.1000-5013.2000.02.022]
　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.[doi:10.3969/j.issn.1000-5013.2000.02.022]
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基于遗传算法的PID参数优化设计()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第21卷
期数:
2000年第2期
页码:
200-204
栏目:
出版日期:
2000-04-20

文章信息/Info

Title:
Optimization Design Based on Genetic Algorithm for Designing Parameters of PID controller
文章编号:
1000-5013(2000)02-0200-05
作者:
周凯汀; 郑力新
华侨大学电子工程系, 泉州362011; 华侨大学电气工程与自动化系, 泉州362011
Author(s):
Zhou Kaitin1;  Zheng Lixin2
1.Dept. of Electron. Eng., Huaqiao Univ., 2 Dept. of Elec. Eng. & Auto., Huaqiao Univ., 362011, Quanzhou
关键词:
PID;  参数优化设计;  遗传算法
Keywords:
PID;  optimization design of parameter;  genetic algorithm
分类号:
TP18
DOI:
10.3969/j.issn.1000-5013.2000.02.022
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Simulink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 .
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.

参考文献/References:

[1] Zuo W. A genetic approach to adaptive control system design [J]. Proceedings of the Institution of Mechanical Engineers, 1997(1):15-23.
[2] Dakev N V, Whidborne J F. Evolutionary H∞ design of an electromagnetic suspension control system for a maglev vehicle [J]. Proceedings of the Institution of Mechanical Engineers, 1997(1):345-355.
[3] Trebi A, White B A. Multiobjective fuzzy genetic algorithm optimization approach to nonlinear control system design [J]. IEE Proceedings-Control Theory and Applications, 1997(2):137-142.doi:10.1049/ip-cta:19971031.
[4] Hyun J H, Lee C O. Optimization of feedback gains for a hydraulic servo system by genetic algorithms [J]. Proceedings of the Institution of Mechanical Engineers, 1998(1):395-401.
[5] 郑力新. 双闭环直流调速系统参数的进化计算 [J]. 华侨大学学报(自然科学版), 1998(3):245-249.
[6] Mitsuo G, Cheng R W. Genetic algorithms·engineering design [M]. New York:John Wiley·Sons Inc, 1997.60-63.
[7] 薛定宇. 控制系统计算机辅助设计--MATLAB语言及应用 [M]. 北京:清华大学出版社, 1997.253-260.

相似文献/References:

[1]周凯汀,郑力新.进化算法的PID参数最优设计[J].华侨大学学报(自然科学版),2005,26(1):85.[doi:10.3969/j.issn.1000-5013.2005.01.022]
　Zhou kaiting,Zheng Lixin.Optimal Design of PID Parameters by Evolution Algorithm[J].Journal of Huaqiao University(Natural Science),2005,26(2):85.[doi:10.3969/j.issn.1000-5013.2005.01.022]

备注/Memo

备注/Memo:
华侨大学科研基金资助项目
更新日期/Last Update: 2014-03-23