汪玉凤;王燚增;

• 1:辽宁工程技术大学电气与控制工程学院

摘要(Abstract)：

为解决PID控制参数求解过程中所存在的求解精度不高的问题,提出一种量子天牛群算法.通过结合PSO算法的全局搜索能力、BAS算法的局部搜索能力以及量子策略的随机能力,使得算法的全局搜索能力以及搜索精度得到有效提高,并通过两类经典函数对其寻优能力进行验证.进一步,将QBSO算法应用于PID参数优化中,并对一阶与二阶延时和非延时系统进行PID控制参数求解.通过仿真实验以及计算结果表明,基于QBSO的PID控制的控制系统具有更加优良的动态性能与抗扰动能力.

关键词(KeyWords)： PID控制;量子天牛群算法;参数优化;PSO算法;BAS算法

Abstract:

Keywords:

基金项目(Foundation): 辽宁省自然科学基金（20180550268）

作者(Authors): 汪玉凤;王燚增;

参考文献(References)：

• [1] OI A,NAKAZAWA C,MASTUSI T,et al.Development of PSO-based PID tuning method[C]//International Conference on Control.IEEE,2008.
• [2] RICE W S.Take control of PID tuning(Automation Engineering)[J].Scandinavian Journal of Immunology,2004,59(6):613-613.
• [3]肖仁鑫,张海洋,陈峥,等.交流感应电机串联PI控制及其参数整定方法[J].控制工程,2016,23(4):613-618.XIAO Renxin,ZHANG Haiyang,CHEN Zheng,et al.Series PI control and parameter tuning for AC induction motor[J].Control Engineering,2016,23(4):613-618.
• [4]谭飞,曹立佳.基于改进动态变异差分进化的最优PID控制[J].控制工程,2019,26(3):461-468.TAN Fei,CAO Lijia.Optimal PID control based on the improved dynamic mutation differential evolution algorithm[J].Control Engineering,2019(3),26(3):461-468.
• [5]赵丽娟,李苗.采煤机自动调高系统的模糊PID控制仿真[J].辽宁工程技术大学学报(自然科学版),2016,35(10):1 075-1 080.doi:10.11956/j.issn.1008-0562.2016.10.013.ZHAO Lijuan,LI Miao.Simulation the shearer’s automatic lifting based on fuzzy PID control[J].Journal of Liaoning Technical University(Natural Science), 2016,35(10):1 075-1 080.doi:10.11956/j.issn.1008-0562.2016.10.013.
• [6]毛君,徐健博,陈洪月,等.橡胶带卷取机跑偏模糊控制系统的动态仿真[J].辽宁工程技术大学学报(自然科学版),2016,35(3):294-299.doi:10.11956/j.issn. 1008-0562.2016.03.014.MAO Jun,XU Jianbo,CHEN Hongyue,et al.Dynamic simulation of rubber belt coiler deviation system based on fuzzy control[J].Journal of Liaoning Technical University(Natural Science),2016,35(3):294-299.doi:10.11956/j.issn.1008-0562.2016.03.014.
• [7] AZALI S, SHEIKHAN M. Intelligent control of photovoltaic system using BPSO-GSA-optimized neural network and fuzzy-based PID for maximum power point tracking[J].Applied Intelligence,2016, 44(1):88-110.
• [8] FAN Y Q,SHAO J P,SUN G T.Optimized PID controller based on beetle antennae search algorithm forelectro-hydraulic position servo controlsystem[J].Sensors(Basel, Switzerland),2019,19(12):2 727-2 748.
• [9] ASTROM K J,HAGGLUND T.Revisiting the Ziegler–Nichols step response method for PID control[J].Journal of Process Control,2004,14(6):635-650.
• [10] JIANG X Y,LI S Bsas:beetle swarm antennae search algorithm for optimization problems[J].International Journal of Robotics and Control,2018,1(1):1-7.
• [11] XU X Z,SHAN D,WANG G Y,et al.Multimodal medical image fusion using PCNN optimized by the QPSO algorithm[J].Applied Soft Computing,2016(46):588-595.