[1]梅小华,郑力新,周凯汀.多变量系统调节器参数的优化设计[J].华侨大学学报(自然科学版),2005,26(2):134-137.[doi:10.3969/j.issn.1000-5013.2005.02.006]
 Mei Xiaohua,Zheng Lixin,Zhou Kaiting.Parameter Optimization of the Regulator Designing for a Multivariable System[J].Journal of Huaqiao University(Natural Science),2005,26(2):134-137.[doi:10.3969/j.issn.1000-5013.2005.02.006]
点击复制

多变量系统调节器参数的优化设计()
分享到:

《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第26卷
期数:
2005年第2期
页码:
134-137
栏目:
出版日期:
2005-04-20

文章信息/Info

Title:
Parameter Optimization of the Regulator Designing for a Multivariable System
文章编号:
1000-5013(2005)02-0134-04
作者:
梅小华郑力新周凯汀
华侨大学信息科学与工程学院; 华侨大学信息科学与工程学院 福建泉州362021; 福建泉州362021; 福建泉州362021
Author(s):
Mei Xiaohua Zheng Lixin Zhou Kaiting
College of Information Science and Engineering, Huaqiao University, 362021, Quanzhou, China
关键词:
PI调节器 多变量控制系统 遗传算法 参数优化
Keywords:
PI regulator multivariable control system genetic algorithm parameter optimization
分类号:
TP214
DOI:
10.3969/j.issn.1000-5013.2005.02.006
文献标志码:
A
摘要:
对多变量有耦合控制器优化的问题,遗传算法是一个强有力的求优算法.文中基于遗传算法,以温控系统的多通道PI调节器参数设计为例,设计的PI调节器使系统性能指标有较大提高.设计方法通用性强、工程性强.能够较好地避免局部最优.多变量系统的参数优化设计是有效的所设计的.
Abstract:
Based on genetic algorithm as a powerful algorithm of optimizing, the authors deal with the complicated issue of the optimization of multivariable and coupled controller which exemplifies by designing parameters of the multichannel PI regulator for a temperature control system. The designed PI regulator made the performance index of the system to be fairly greatly improved. The method is versatile and practical for engineering. It is able to avoid falling in to local optimization. It is an effective design method for the parameter optimization of multivariable system.

参考文献/References:

[1] Nishikawa Y, Sannomiya N, Ohta T. A method for auto-tuning of PID control parameters [J]. AUTOMATICA, 1984.321-332.doi:10.1016/0005-1098(84)90047-5.
[2] 柴天佑, 张贵军. 基于给定的相角裕度和幅值裕度PID参数自整定新方法 [J]. 自动化学报, 1977(2):167-172.
[3] 郑力新, 周凯汀, 王永初. PID进化设计法 [J]. 仪器仪表学报, 2001(4):340-343.doi:10.3321/j.issn:0254-3087.2001.04.003.
[4] Tanttu J T, Koivo H N. An expert system for multivariable controller design [J]. Automatica, 1993.953-968.doi:10.1016/0005-1098(93)90099-F.
[5] Bristol E H. The design of industrically useful adaptive controllers [J]. ISA Transactions, 1983(3):17-25.
[6] Fan Huiyuan, Wang Shangjin, Xi Guang. Diretional evolution operator applied to genetic algorithm [J]. J.Xian Jian tong University, 1999(5):45-48.doi:10.3321/j.issn:0253-987X.1999.05.012.
[7] Ziegler J G, Nichols N B. Optimum settings for automatic controllers [J]. Transactions of the ASME, 1942.759-768.

备注/Memo

备注/Memo:
福建省科技计划工业领域重点科研基金资助项目(2004H016)
更新日期/Last Update: 2014-03-23