| 一种基于改进PSO算法的PID控制器参数整定方法 |
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| 引用本文： | 张朝龙,江巨浪,江善和,李彦梅,唐飞. 一种基于改进PSO算法的PID控制器参数整定方法[J]. 化工自动化及仪表, 2010, 37(12): 15-18 |
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| 作者姓名： | 张朝龙 江巨浪 江善和 李彦梅 唐飞 |
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| 作者单位： | 安庆师范学院,物理与电气工程学院,安徽,安庆,246011;安庆师范学院,物理与电气工程学院,安徽,安庆,246011;安庆师范学院,物理与电气工程学院,安徽,安庆,246011;安庆师范学院,物理与电气工程学院,安徽,安庆,246011;安庆师范学院,物理与电气工程学院,安徽,安庆,246011 |
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| 基金项目： | 安徽省自然科学基金,安庆市重点科技项目 |
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| 摘 要： | 在线性权重下降PSO(LWDPSO)和随机PSO(SPSO)的基础上,提出一种交互进化PSO算法(IEP-SO),将粒子群分成两组,分别采用标准PSO和SPSO并行交互进化,各侧重于全局搜索和局部搜索,根据进化代数动态调整两种算法中进化的粒子数。通过仿真实验,证明了IEPSO的寻优性能优于LWDPSO与SPSO。Zie-gler-Nichols、LWDPSO、SPSO和IEPSO分别对控制对象进行整定仿真测试,证明了IEPSO对PID控制器参数整定效果最佳。
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| 关 键 词： | PSO PID 适应度 整定 |
A PID Controller Parameter Tuning Method Based on Improved PSO Algorithm |
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| ZHANG Chao-long,JIANG Ju-lang,JIANG Shan-he,LI Yan-mei,TANG Fei. A PID Controller Parameter Tuning Method Based on Improved PSO Algorithm[J]. Control and Instruments In Chemical Industry, 2010, 37(12): 15-18 |
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| Authors: | ZHANG Chao-long JIANG Ju-lang JIANG Shan-he LI Yan-mei TANG Fei |
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| Affiliation: | (Institute of Physics and Electrical Engineering,Anqing Teachers College,Anqing 246011,China) |
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| Abstract: | An interactive evolution particle swarm optimization（IEPSO） algorithm was proposed based on linear weight decrease particle swarm optimization（LWDPSO） and stochastic particle swarm optimization（SPSO）.The particle swarm was divided into two groups.Standard PSO and SPSO were employed for global search and local search respectively;parallel variables were dynamically adapted according to the evolution stage.The simulations proved the IEPSO had better performance than LWDPSO and SPSO.PID controller tuning test proved IEPSO had the better control effect than Ziegler-Nichols,LWDPSO and SPSO. |
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| Keywords: | PSO PID fitness tuning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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