计算机工程2025，Vol.51Issue(5)：239-248,10.DOI:10.19678/j.issn.1000-3428.0069291
基于GAPSO优化的注塑机注射速度模糊PID控制器
Fuzzy PID Controller for Injection Speed of Injection Molding Machine Based on GAPSO Optimization
摘要
Abstract
In the hydraulic control system of injection molding machines directly driven by servo motors for oil pumps,the industrial sector typically employs Proportional-Integral-Derivative(PID)control methods.However,their control performance is relatively poor,and they struggle to achieve high control accuracy.Combining fuzzy control with PID control has emerged as an effective approach for improving PID control.To address issues such as cumbersome operations and difficulties in finding optimal parameter combinations during the tuning process of fuzzy PID algorithms,a fuzzy PID control method optimized by the Genetic Algorithm-Particle Swarm Optimization(GAPSO)algorithm is proposed.An improved Particle Swarm Optimization(PSO)algorithm,in which the inertia weight varies with an S-function(SDIF-PSO),is introduced.This modified PSO algorithm is integrated with the Genetic Algorithm(GA)to construct a fuzzy PID controller optimized by the GAPSO algorithm.Simulations of the injection process are conducted using Matlab/Simulink.Experimental results demonstrate that,compared with traditional fuzzy PID controllers and fuzzy PID controllers optimized solely by the improved PSO algorithm or GA algorithm,the fuzzy PID controller optimized by GAPSO exhibits faster response,smaller overshoots,and higher steady-state accuracy.关键词
伺服电机/注塑机/注射速度/模糊PID/遗传粒子群算法/混合优化算法Key words
servo motor/injection molding machine/injection speed/fuzzy PID/genetic particle swarm algorithm/hybrid optimization algorithm分类
信息技术与安全科学引用本文复制引用
张绍坤,沈加明,胡燕海,傅挺,王舟挺..基于GAPSO优化的注塑机注射速度模糊PID控制器[J].计算机工程,2025,51(5):239-248,10.基金项目
国家自然科学基金(51705263) （51705263）
宁波市重点研发计划(2023Z169). （2023Z169）
