| 粒子群算法优化PID控制参数研究 |
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| 引用本文： | 付晓刚,计丽霞.粒子群算法优化PID控制参数研究[J].电气自动化,2006,28(4):37-38,47. |
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| 作者姓名： | 付晓刚 计丽霞 |
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| 作者单位： | 上海电机学院电气学院,上海,200240 |
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| 摘 要： | 采用常规的PID整定方式，往往费时而且难以满足控制要求．通过对粒子群算法的研究，在确定了适应度函数设计等控制参数后，采用粒子群算法对PID控制器参数进行优化，取得了很好的效果。
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| 关 键 词： | 粒子群优化算法 PID 适应度函数 |
| 文章编号： | 1000-3886（2006）04-0037-03 |
Research on Particle Swarm Optimization Algorithm to Optimize PID Controller Parameters |
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| Fu Xiaogang,Ji Lixia.Research on Particle Swarm Optimization Algorithm to Optimize PID Controller Parameters[J].Electrical Automation,2006,28(4):37-38,47. |
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| Authors: | Fu Xiaogang Ji Lixia |
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| Affiliation: | Shanghai DianJi University, Shanghai 200240, China |
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| Abstract: | It usually takes a lot of time and hard to satisfy the request of control by adopting the normal PID tuning. Through the research on particle swarm optimization algorithm, after making sure of some control parameters, such as fitness function design etc., it has obtained the good result by adopting particle swarm optimization algorithm to optimize PID controller parameters. |
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| Keywords: | particle swarm optimization algorithm PID fitness function |
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