矿冶工程
礦冶工程
광야공정
Mining and Metallurgical Engineering
2015年
4期
111-114,118
,共5页
赵新秋%贾林%杨景明%陈伟明
趙新鞦%賈林%楊景明%陳偉明
조신추%가림%양경명%진위명
带钢%冷轧%对中控制系统%粒子群算法%动态差异演化%PID
帶鋼%冷軋%對中控製繫統%粒子群算法%動態差異縯化%PID
대강%랭알%대중공제계통%입자군산법%동태차이연화%PID
striped steel%cold rolling%centering control system%particle swarm algorithm%dynamic differential evolution%PID
以带钢冷连轧对中控制系统为研究对象，通过分析比较ZN法、遗传算法、标准粒子群优化算法（ PSO）以及改进型粒子群优化算法（MPSO）来优化PID控制算法优劣，最终确定动态权重差异演化的粒子群（MPSO）优化PID控制算法最优，从而设计了MPSO?PID控制器，结果表明其能达到系统预期精度要求，能使系统更快速、更稳定地运行。
以帶鋼冷連軋對中控製繫統為研究對象，通過分析比較ZN法、遺傳算法、標準粒子群優化算法（ PSO）以及改進型粒子群優化算法（MPSO）來優化PID控製算法優劣，最終確定動態權重差異縯化的粒子群（MPSO）優化PID控製算法最優，從而設計瞭MPSO?PID控製器，結果錶明其能達到繫統預期精度要求，能使繫統更快速、更穩定地運行。
이대강랭련알대중공제계통위연구대상，통과분석비교ZN법、유전산법、표준입자군우화산법（ PSO）이급개진형입자군우화산법（MPSO）래우화PID공제산법우렬，최종학정동태권중차이연화적입자군（MPSO）우화PID공제산법최우，종이설계료MPSO?PID공제기，결과표명기능체도계통예기정도요구，능사계통경쾌속、경은정지운행。
With the centering control system for cold strip rolling as the study object, PID control algorithm was optimized based on the analyses of ZN method, genetic algorithm, standard particle swarm optimization algorithm ( PSO) and improved particle swarm optimization algorithm ( MPSO) . It was finally determined that the PID control algorithm optimized by dynamic weight differential evolution particle swarm ( MPSO) is the optimal scheme. MPSO?PID controller was designed thereby. The results show that it can meet the requirement of the system for the expected accuracy and make the system more quickly and more stably operate.
