| 改进粒子群算法在PID参数整定中的应用 |
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| 引用本文： | 邵会锋.改进粒子群算法在PID参数整定中的应用[J].电气传动自动化,2010,32(2):22-24,35. |
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| 作者姓名： | 邵会锋 |
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| 作者单位： | 通化钢铁股份有限公司氧气厂,吉林通化,134003 |
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| 摘 要： | PID控制是过程控制中应用最广泛的控制方法,其关键在于PID参数的优化。针对其参数整定和优化问题,提出了一种改进的粒子群优化算法。仿真结果证明了该算法的有效性,其性能优于遗传算法和基本微粒群算法,具有一定的工程应用前景。
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| 关 键 词： | 粒子群算法 PID控制器 克隆选择 参数优化 |
Application of an improved PSO algorithm in PID parameters optimization |
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| SHAO Hui-feng.Application of an improved PSO algorithm in PID parameters optimization[J].Electrical Drive Automation,2010,32(2):22-24,35. |
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| Authors: | SHAO Hui-feng |
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| Affiliation: | SHAO Hui-feng (Oxygen Factory, Tonggang Iron ＆ Stell Inc.,Tonghua 134004,China) |
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| Abstract: | PID control is the most common control method used in process control, and the core technology lies in the optimization of the PID parameters. An improved particle swarm optimization is proposed in tuning and optimization of PID parameters. The simulation results show the effectiveness of improved PSO and its performance is better than GA algorithm and base PSO, which means a well prospective. |
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| Keywords: | particle swarm algorithm PID controller clone selection parameter optimization |
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