基于PI控制的改进布谷鸟算法  

Improved Cuckoo Search Algorithm based on Proportional Integral Control

作　　者：陆伟峰[1] 陶文寅 谷瑞[1] LU Wei-feng;TAO Wen-yin;GU Rui(Suzhou Industrial Park Institute of Services Outsourcing,Suzhou 215123,China)

机构地区：[1]苏州工业园区服务外包职业学院,江苏苏州215123

出　　处：《数学的实践与认识》2021年第12期198-204,共7页Mathematics in Practice and Theory

基　　金：江苏省食品先进制造装备技术重点实验室开放课题(FMZ202018);江苏省高校哲学社会科学研究项目(2020SJA1438)。

摘　　要：布谷鸟算法具有结构简单、参数少和不易陷入局部最优等优点,在电力、生物医药等领域应用广泛.针对基本布谷鸟算法局部搜索能力弱和寻优精度不足等问题,提出了基于PI控制的改进布谷鸟算法.通过引入积分环节形成PI控制器,强化布谷鸟算法的局部搜索能力,降低系统稳态误差.理论上分析了该算法的收敛条件,仿真实验结果表明新算法提高了收敛精度和收敛速度.Cuckoo Search algorithm has a simple structure with few parameters;in addition,it is quite robust to local optimum traps.Considering these and other advantages,it has been widely used in fields of electric power and biomedicine,among others.In this study,an improved cuckoo search algorithm based on proportional integral(PI) control is proposed to address the shortcomings of the basic Cuckoo Search algorithm,such as weak local search ability and low optimization accuracy.By introducing the integral term,a PI controller is formed to enhance the local search ability of the algorithm and reduce steady-state errors in the system.Theoretical analysis is performed to obtain the conditions for convergence of the algorithm.Furthermore,our simulations results indicate that the proposed algorithm has improved order of accuracy and rate of convergence than the other Cuckoo Search algorithm.

关 键 词：PI控制 布谷鸟算法 稳态误差 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]