排灌机械工程学报2025,Vol.43Issue(10):1031-1039,9.DOI:10.3969/j.issn.1674-8530.24.0078
基于改进沙猫群算法的时滞水轮机调节系统控制参数整定
Control parameter tuning of delayed turbine regulation system based on improved sand cat swarm algorithm
摘要
Abstract
Aiming at the difficulty of tuning PID control parameters of delayed turbine regulation sys-tem,a PID control strategy based on an improved sand cat swarm algorithm was proposed.Firstly,con-sidering the mechanical delay characteristics of the hydraulic delayed servo system,a hydraulic delayed turbine regulation system model was established.Secondly,the nonlinear convergence factor,Levy flight strategy,and crossbar strategy were used to improve the sand cat swarm algorithm,and six diffe-rent test functions were used to test the algorithm's performance.Finally,a PID controller based on particle swarm(PSO)algorithm,sand cat swarm(SCSO)algorithm,atom search(ASO)algorithm,and improved sand cat swarm(ISCSO)algorithm was designed,and simulation analysis was carried out on the turbine regulation system under different time delay conditions.In order to further verify the control performance of the designed controller,under the condition of load disturbance,the simulation results show that the ISCSO algorithm can be used to adjust the PID controller parameters,which has a good control effect on the delayed turbine regulation system.关键词
改进沙猫群算法/水轮机调节系统/机械时延/PID控制/负荷扰动Key words
improved sand cat swarm algorithm/hydraulic turbine regulation system/mechanical delay/PID control/load disturbance分类
水利科学引用本文复制引用
王利英,党博涛,张佳乐,杨文其..基于改进沙猫群算法的时滞水轮机调节系统控制参数整定[J].排灌机械工程学报,2025,43(10):1031-1039,9.基金项目
国家自然科学基金面上项目(11972144,12072098) (11972144,12072098)