摘要
基于迁徙策略的自适应改进粒子群算法,提出一种并行式二自由度PID,用该并行式二自由度PID替换塑料挤出机温度控制系统中的常规PID,对并行式二自由度PID参数优化,获得了更好的性能指标值及鲁棒性。
This paper proposes an adaptive and improved particle swarm algorithm based on migration strategy.A parallel two-degree-of-freedom PID was proposed,and the conventional two-degree-of-freedom PID was used to replace the conventional PID in the plastic extruding machine temperature control system.The improved PSO was used to optimize the parallel two-degree-of-freedom PID parameters.Simulation verification showed,this method can get better performance index value and robustness.
作者
李海强
凌志梅
韦超英
LI Hai-qiang;LING Zhi-mei;WEI Chao-ying(Guangxi City Vocational College,Chongzuo 532200,China)
出处
《塑料科技》
CAS
北大核心
2020年第5期110-114,共5页
Plastics Science and Technology
基金
广西高校中青年教师科研基础能力提升项目(2019KY1635)。
关键词
塑料挤出机
自适应
粒子群算法
二自由度
鲁棒性
Plastic extruding machine
Adaptive
Particle swarm optimization
Two degrees of freedom
Robustness
