[1]周凯汀,郑力新.新型智能比例积分微分控制器控制方法[J].华侨大学学报(自然科学版),2006,27(4):362-364.[doi:10.3969/j.issn.1000-5013.2006.04.007]
　Zhou Kaiting,Zheng Lixin.The Study of a New Type Intelligent PID[J].Journal of Huaqiao University(Natural Science),2006,27(4):362-364.[doi:10.3969/j.issn.1000-5013.2006.04.007]
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新型智能比例积分微分控制器控制方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第27卷
期数:
2006年第4期
页码:
362-364
栏目:
出版日期:
2006-10-20

文章信息/Info

Title:
The Study of a New Type Intelligent PID
文章编号:
1000-5013(2006)04-0362-03
作者:
周凯汀; 郑力新
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
Author(s):
Zhou Kaiting;  Zheng Lixin
College of Information Science and Engineering, Huaqiao University, 362021, Quanzhou, China
关键词:
智能PID;  遗传算法;  时域响应;  优化设计
Keywords:
intelligent PID;  genetic algorithms;  time domain response;  optimization design
分类号:
TM571
DOI:
10.3969/j.issn.1000-5013.2006.04.007
文献标志码:
A
摘要:
建立一种基于时域响应曲线的控制区间划分方法,将各区间的控制规律统一为比例积分微分控制器(PID)控制,引入遗传算法优化设计各区间控制参数.在用误差过零及误差导数过零计数器确定主区间之后,该方法仅需要一个误差变量便可确定目标控制区间,从而提高查询控制参数的效率.数值仿真实例表明,文中方法是可行的,显著改善了控制效果.
Abstract:
A new dividing method of control region based on the time domain response is first established.The control rule of each region is then unified to PID control,and genetic algorithm is introduced to design the control parameters of each region.After seeking the main region by using a error-cross-zero counter and a error′s derivative-cross-zero counter,only one variable of error is needed to determine the objective control region,thus promote the inquiring efficiency for the control parameters.Numerical simulation show that the new method is feasible and it greatly improved the control effect.

参考文献/References:

[1] 陶永华, 尹怡欣, 葛芦生. 新型PID控制及其应用 [M]. 北京:机械工业出版社, 1998.69-183.
[2] 谢剑英. 微型计算机控制技术 [M]. 北京:国防工业出版社, 1996.265-269.
[3] Ziegler J G, Nichols N B. Optimum settings for automatic controllers [J]. Transactions of the ASME, 1942.759-768.
[4] 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.
[5] Gen M, Cheng R. Genetic algorithms & engineering design [M]. New York:John Wiley & Sons, Inc, 1997.60-63.
[6] 张国良, 曾静, 柯熙政. 模糊控制及其MATLAB应用 [M]. 西安:西安交通大学出版社, 2002.79-84.

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备注/Memo

备注/Memo:
华侨大学科研基金资助项目(02HJR05)
更新日期/Last Update: 2014-03-23