用改进的人工蜂群算法设计AVR系统最优分数阶PID控制器

张冬丽; 唐英干; 关新平

doi:10.3724/SP.J.1004.2014.00973

用改进的人工蜂群算法设计AVR系统最优分数阶PID控制器

doi: 10.3724/SP.J.1004.2014.00973

1.
燕山大学电气工程学院秦皇岛 066004;
2.
系统控制与信息处理教育部重点实验室上海 200240;
3.
上海交通大学电子信息和电气工程学院上海 200240

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出版历程
- 收稿日期: 2013-06-19
- 修回日期: 2013-11-12
- 刊出日期: 2014-05-20

Optimum Design of Fractional Order PID Controller for an AVR System Using an Improved Artificial Bee Colony Algorithm

1.
Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;
2.
Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China;
3.
Institute of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Funds:

Manuscript received June 19, 2013; accepted November 12, 2013 Supported by National Natural Science Foundation of China (61273260), Specialized Research Fund for the Doctoral Program of Higher Education of China (20121333120010), Natural Scientific Research Foundation of the Higher Education Institutions of Hebei Province (2010165), the Major Program of the National Natural Science Foundation of China (61290322), Foundation of Key Laboratory of System Control and Information Processing, Ministry of Education (SCIP2012008), and Science and Technology Research and Development Plan of Qinhuangdao City (2012021A041)

More Information

Corresponding author: ZHANG Dong-Li

摘要

摘要: 分数阶PID控制器（FOPID）是标准PID控制器的一般形式.与PID控制器相比，FOPID有更多的参数，其参数整定也更复杂.本文提出一种基于环交换邻域和混沌的人工蜂群算法（CNC-ABC），用于FOPID控制器的参数整定.CNC-ABC算法由于应用了环交换邻域，增加了解的搜索范围，从而能加快人工蜂群算法的收敛速度；同时利用混沌的遍历性使算法跳出局部最优解.用CNC-ABC算法优化AVR系统的FOPID控制器的参数.仿真结果表明，CNC-ABC算法整定的FOPID控制器比其它FOPID及PID控制器有较好的性能.
- 分数阶PID控制器 /
- 优化控制 /
- 人工蜂群算法 /
- 环交换邻域 /
- 混沌 /
- AVR系统
Abstract: Fractional order proportional-integral-derivative (FOPID) controller generalizes the standard PID controller.Compared to PID controller, FOPID controller has more parameters and the tuning of parameters is more complex. In this paper, an improved artificial bee colony algorithm, which combines cyclic exchange neighborhood with chaos (CNC-ABC), is proposed for the sake of tuning the parameters of FOPID controller. The characteristic of the proposed CNC-ABC exists intwo folds: one is that it enlarges the search scope of the solution by utilizing cyclic exchange neighborhood techniques, speeds up the convergence of artificial bee colony algorithm (ABC). The other is that it has potential to get out of local optima by exploiting the ergodicity of chaos. The proposed CNC-ABC algorithm is used to optimize the parameters of the FOPID controller for an automatic voltage regulator (AVR) system. Numerical simulations show that the CNC-ABC FOPID controller has better performance than other FOPID and PID controllers.
- Fractional order proportional-integral-derivative (FOPID) controller /
- optimal control /
- artificial bee colony algorithm /
- cyclic exchange neighborhood /
- chaos /
- automatic voltage regualator (AVR) system

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