| 动态权重差异演化PSO优化PID算法在带钢对中控制系统中的应用 |
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| 引用本文： | 赵新秋,贾林,杨景明,陈伟明. 动态权重差异演化PSO优化PID算法在带钢对中控制系统中的应用[J]. 矿冶工程, 2015, 35(4): 111-114. DOI: 10.3969/j.issn.0253-6099.2015.04.030 |
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| 作者姓名： | 赵新秋 贾林 杨景明 陈伟明 |
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| 作者单位： | 1.燕山大学 工业计算机控制工程河北省重点实验室, 河北 秦皇岛 066004;2.国家冷轧板带装备及工艺工程技术研究中心, 河北 秦皇岛 066004 |
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| 基金项目： | 河北省科技支撑计划项目(13211817);河北省高等学校创新团队领军人才培训计划项目资助(LJRC013) |
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| 摘 要： | 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。
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| 关 键 词： | 带钢 冷轧 对中控制系统 粒子群算法 动态差异演化 PID |
| 收稿时间： | 2015-02-11 |
Application Research of PID Control Algorithm Optimized by Dynamic Weight and Differential Evolution PSO in Cold Rolled Strip Centering Control System |
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| ZHAO Xin-qiu,JIA Lin,YANG Jing-ming,CHEN Wei-ming. Application Research of PID Control Algorithm Optimized by Dynamic Weight and Differential Evolution PSO in Cold Rolled Strip Centering Control System[J]. Mining and Metallurgical Engineering, 2015, 35(4): 111-114. DOI: 10.3969/j.issn.0253-6099.2015.04.030 |
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| Authors: | ZHAO Xin-qiu JIA Lin YANG Jing-ming CHEN Wei-ming |
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| Affiliation: | 1.Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China; 2.National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao 066004, Hebei, China |
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| Abstract: | 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. |
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| Keywords: | striped steel cold rolling centering control system particle swarm algorithm dynamic differential evolution PID |
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