摘要
针对混合蛙跳算法寻优精度低、易陷入局部最优的缺陷,将混沌初始化和高斯变异因子引入混合蛙跳算法,经对某二阶被控过程的PID控制器参数优化验证后,表明改进后的算法寻优精度更高、收敛速度更快。结合实际工程实践要求,以1000 MW机组协调控制系统为对象,采用改进混合蛙跳算法来寻优多变量PID控制器参数。仿真结果表明,与混合蛙跳算法寻优所得PID控制器相比,基于改进混合蛙跳算法的多变量PID控制器负荷跟随性更优、响应速度更快。
Aiming at the shortcomings of the shuffled frog leaping algorithm,such as low precision and being easy to fall into local optimum,the chaotic initialization and Gaussian mutating factor are introduced into the shuffled frog leaping algorithm.After optimizing the PID controller parameters of a second-order controlled process,it shows that the improved algorithm has higher precision and faster convergence.With an actual 1000 MW unit coordinated control system as the object model and combining with the actual engineering practice requirements,the improved shuffled frog leaping algorithm is used to optimize the multivariable PID controller parameters.The simulation results show that compared with the PID controller obtained by the shuffled frog leaping algorithm,the multi-variable PID controller based on the improved shuffled frog leaping algorithm has better load followability and faster response speed.
作者
孙宇贞
郭皓文
黄晓筱
SUN Yu-zhen;GUO Hao-wen;HUANG Xiao-xiao(College of Automation Engineering,Shanghai University of Electric Power,Shanghai,200090,China)
出处
《热能动力工程》
CAS
CSCD
北大核心
2020年第6期109-115,共7页
Journal of Engineering for Thermal Energy and Power
基金
上海市科技创新行动计划高新技术领域项目(1751109402)。
关键词
改进混合蛙跳算法
混沌初始化
高斯因子
协调控制系统
PID控制器
improved shuffled leapfrog algorithm
chaotic initialization
Gaussian factor
coordinated control system
PID controller
