基于改进蝙蝠算法的模糊PID规则优化研究

doi:10.19678/j.issn.1000-3428.0055538

计算机工程 ›› 2020, Vol. 46 ›› Issue (8): 305-312. doi: 10.19678/j.issn.1000-3428.0055538

基于改进蝙蝠算法的模糊PID规则优化研究

杜学武^1,2, 张明新², 沙广涛^2,3, 伍秋玉³

1. 苏州大学计算机科学与技术学院, 江苏苏州 215006;
2. 常熟理工学院计算机科学与工程学院, 江苏常熟 215500;
3. 中国矿业大学计算机科学与技术学院, 江苏徐州 221116

收稿日期:2019-07-22 修回日期:2019-10-14 发布日期:2019-10-24
作者简介:杜学武(1994-),男,硕士研究生,主研方向为数据挖掘、智能控制;张明新,教授;沙广涛、伍秋玉,硕士研究生。
基金资助:
国家自然科学基金（61173130）。

Research of Fuzzy PID Rule Optimization Based on Improved Bat Algorithm

DU Xuewu^1,2, ZHANG Mingxin², SHA Guangtao^2,3, WU Qiuyu³

1. School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu 215006, China;
2. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu, Jiangsu 215500, China;
3. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China

Received:2019-07-22 Revised:2019-10-14 Published:2019-10-24

摘要/Abstract

摘要： 模糊控制规则是模糊PID控制器的核心，在对模糊控制规则优化时通常采用特定的方式寻优弱化模糊控制规则间的关联性，存在影响计算效率以及控制精度等问题。为此，在蝙蝠算法（BA）寻优方式的基础上，提出一种改进的蝙蝠算法（IBA）对模糊控制规则进行优化。通过模糊控制规则间关联性设计邻域搜索算子以提高BA的搜索精度，再引入混沌变异算子避免BA陷入局部最优，以ITAE值作为性能指标对模糊PID控制系统进行评价。仿真结果表明，与粒子群算法、遗传算法和改进的蚁群算法的优化效果相比，IBA优化模糊控制规则后的模糊PID控制器的调节时间与超调量均较小，且提高了控制精度与计算效率。

关键词: 模糊PID控制, 模糊控制规则优化, 蝙蝠算法, 邻域搜索算子, 混沌变异算子

Abstract: Fuzzy control rules are the core of fuzzy PID controllers.Optimization of fuzzy control rules usually requires specific methods to optimize and weaken the correlation between fuzzy control rules,which affects the calculation efficiency and control accuracy.Therefore,this paper proposes an Improved Bat Algorithm(IBA) to optimize fuzzy control rules on the basis of the optimization method of the Bat Algorithm(BA).The neighborhood search operator is designed by the correlation between fuzzy control rules to improve the search accuracy of BA,and then the chaos mutation operator is introduced to avoid BA from falling into the local optimum.The fuzzy PID control system is evaluated with ITAE value as the performance index.Results of the simulation show that compared with the optimization performance of the particle swarm algorithm,genetic algorithm and improved ant colony algorithm,IBA reduces the adjustment time and overshoot of the fuzzy PID controller with optimized fuzzy control rules,and improves the control accuracy and calculation efficiency.

Key words: fuzzy PID control, fuzzy control rule optimization, Bat Algorithm(BA), neighborhood search operator, chaotic mutation operator

中图分类号:

TP273.4

杜学武, 张明新, 沙广涛, 伍秋玉. 基于改进蝙蝠算法的模糊PID规则优化研究[J]. 计算机工程, 2020, 46(8): 305-312.

DU Xuewu, ZHANG Mingxin, SHA Guangtao, WU Qiuyu. Research of Fuzzy PID Rule Optimization Based on Improved Bat Algorithm[J]. Computer Engineering, 2020, 46(8): 305-312.

http://www.ecice06.com/CN/Y2020/V46/I8/305

图/表 12

20200819141357

20200819141400

20200819141403

20200819141406

20200819141410

20200819141412

20200819141415

20200819141419

20200819141422

20200819141425

20200819141428

20200819141432

参考文献

[1] XIONG Zhonggang,LIU Xiaoyong,JIN Xing,et al.The intelligent control system of parameter self-adaptive PID based on fuzzy theory[J].Journal of Agricultural Mechanization Research,2019,41(5):33-38.(in Chinese)熊中刚,刘小雍,金星,等.基于模糊理论的参数自适应PID智能控制系统[J].农机化研究,2019,41(5):33-38.
[2] XIA Guoqing,CHEN Huazhen.Two-wheeled self-balancing robot's intelligent control system combiningfuzzy theory and PID[J].Modern Electronics Technique,2018,41(21):117-120.(in Chinese)夏国清,陈华珍.模糊理论和PID相融合的两轮自平衡机器人智能控制系统[J].现代电子技术,2018,41(21):117-120.
[3] DETTORI S,IANNINO V,COLLA V,et al.An adaptive fuzzy logic-based approach to PID control of steam turbines in solar applications[J].Applied Energy,2018,227:655-664.
[4] BOUCHEBBAT R,GHERBI S.Design and application of fuzzy immune PID adaptive control based on particle swarm optimization in thermal power plants[C]//Proceedings of the 6th International Conference on Systems and Control.Washington D.C.,USA:IEEE Press,2017:33-38.
[5] RUAN Jian,ZOU Yang,ZHU Haihua,et al.Application of fuzzy control method for temperature control of molten salt system[J].Nuclear Power Engineering,2018,39(1):106-111.(in Chinese)阮见,邹杨,朱海华,等.模糊控制在熔盐系统温度控制中的应用[J].核动力工程,2018,39(1):106-111.
[6] MA Xiaoyu.Fuzzy PID temperature control system for DFB laser based on adaptive genetic algorithm[J].Journal of Shenyang University of Technology,2017,39(4):454-458.(in Chinese)马小雨.基于自适应遗传算法的DFB激光器模糊PID温控系统[J].沈阳工业大学学报,2017,39(4):454-458.
[7] SHILL P C,MAEDA Y,MURASE K.Optimization of fuzzy logic controllers with rule base size reduction using genetic algorithms[C]//Proceedings of 2013 IEEE Symposium on Computational Intelligence in Control and Automation.Washington D.C.,USA:IEEE Press,2013:57-64.
[8] PENG Pengfei,JIANG Jun,HUANG Liang.The adaptive fuzzy control method for steady depth of underwater vehicle based on particles swarm optimization[J].Control Engineering of China,2017,24(2):441-445.(in Chinese)彭鹏菲,姜俊,黄亮.基于粒子群优化的潜器深度自适应模糊控制[J].控制工程,2017,24(2):441-445.
[9] YANG Xinshe.A new metaheuristic bat-inspired algorithm[M].Berlin,Germany:Springer,2010:65-74.
[10] YANG X S,HOSSEIN G A.Bat algorithm:a novel approach for global engineering optimization[J].Engineering Computations,2012,29(5):464-483.
[11] LI Shuangshuang,YANG Wenzhong,WU Xiangqian,et al.Partition routing protocol with multiple sinks based on bat optimization algorithm[J].Computer Engineering,2018,44(6):80-85,92.(in Chinese)李双双,杨文忠,吴向前,等.基于蝙蝠优化算法的多基站分区路由协议[J].计算机工程,2018,44(6):80-85,92.
[12] LEE T F.Enhancing the security of password authenticated key agreement protocols based on chaotic maps[J].Information Sciences,2015,290(1):63-71.
[13] TONG Xiaojun.Design of an image encryption scheme based on a multiple chaotic map[J].Communications in Nonlinear Science and Numerical Simulation,2013,18(7):1725-1733.
[14] ZHANG Yong,CHEN Feng.A modified whale optimization algorithm[J].Computer Engineering,2018,44(3):208-213,219.(in Chinese)张永,陈锋.一种改进的鲸鱼优化算法[J].计算机工程,2018,44(3):208-213,219.
[15] ARASOMWAN A M,ADEWUMI A O.An investigation into the performance of particle swarm optimization with various chaotic maps[J].Mathematical Problems in Engineering,2014,2014:1-17.
[16] XIE Haibo,CHEN Hanben,LIU Jianbin,et al.Key parameters optimization based on ITAE criterion for large flow load control valve[J].Chinese Hydraulics & Pneumatics,2019(3):43-48.(in Chinese)谢海波,陈晗奔,刘建彬,等.基于ITAE准则的大流量平衡阀关键参数优化研究[J].液压与气动,2019(3):43-48.
[17] JAMIL M,YANG X S.A literature survey of benchmark functions for global optimisation problems[J].International Journal of Mathematical Modelling and Numerical Optimisation,2013,4(2):150-194.
[18] TAN C H,YAP K S,YAP H J.Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using pittsburg approach[J].Applied Soft Computing,2012,12(8):2168-2177.
[19] XING Yalang,HE Xin,SUN Shiyu.Optimization design of fuzzy controller based on improved ant colony algorithm[J].Computer Simulation,2012,12(1):131-134,142.(in Chinese)邢娅浪,何鑫,孙世宇.基于改进蚁群算法的模糊控制器优化设计[J].计算机仿真,2012,12(1):131-134,142.
[20] TANG Wei,WANG Shuai,WANG Lingli.Parameters optimization of proportional integral differential based on genetic fuzzy immune algorithm[J].Science Technology and Engineering,2018,18(31):152-159.(in Chinese)汤伟,王帅,王玲利.基于遗传模糊免疫算法的比例-积分-微分参数整定优化[J].科学技术与工程,2018,18(31):152-159.
[21] LIU Huibo,WANG Jing,WU Yanhe.Study and simulation of fuzzy adaptive PID control of brushless DC motor[J].Control Engineering of China,2014,21(4):583-587.(in Chinese)刘慧博,王静,吴彦合.无刷直流电机模糊自适应PID控制研究与仿真[J].控制工程,2014,21(4):583-587.

选择文件类型/文献管理软件名称

选择包含的内容

基于改进蝙蝠算法的模糊PID规则优化研究

Research of Fuzzy PID Rule Optimization Based on Improved Bat Algorithm

RichHTML

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献

相关文章 5

编辑推荐

Metrics

本文评价

[1]	孟凯露,岳克强,尚俊娜. 种间双系统协作蝙蝠优化算法及其性能仿真[J]. 计算机工程, 2019, 45(4): 189-195.
[2]	尚俊娜,程涛,岳克强,盛林. 蝙蝠算法的Markov链模型分析[J]. 计算机工程, 2017, 43(7): 198-202.
[3]	李国成,肖庆宪. 求解高维函数优化问题的交叉熵蝙蝠算法[J]. 计算机工程, 2014, 40(10): 168-174,180.
[4]	乔英, 高岳林, 江巧永. 改进的多目标和声搜索算法[J]. 计算机工程, 2012, 38(18): 144-146.
[5]	郑博, 孟相如, 李欢, 蒋静芝. 基于速率和队长的大时滞网络AQM算法[J]. 计算机工程, 2010, 36(20): 96-98.

模态框（Modal）标题

选择文件类型/文献管理软件名称

选择包含的内容

基于改进蝙蝠算法的模糊PID规则优化研究

Research of Fuzzy PID Rule Optimization Based on Improved Bat Algorithm

RichHTML

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献

相关文章 5

编辑推荐

Metrics

本文评价