| 基于粒子群算法的控制器参数稳定域寻优 |
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| 引用本文： | 周自强,么利中,陈绍炳.基于粒子群算法的控制器参数稳定域寻优[J].山西电力,2011(5):26-29. |
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| 作者姓名： | 周自强 么利中 陈绍炳 |
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| 作者单位： | 1. 山西电力科学研究院,山西太原,030001
2. 东南大学,江苏南京,210096 |
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| 摘 要： | 针对确定参数及带纯延迟模型,提出一种优化比例微分积分控制器参数设计方法。利用广义Hermite-Biehler定理获得使闭环系统控制器的稳定域,在该稳定域内,运用粒子群优化算法寻找基于指标函数的优化的控制器参数。仿真结果表明：该算法对高阶及带纯延迟对象具有良好的控制性能,且对模型的不确定因素有较好的适应性。
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| 关 键 词： | 广义Hermite-Biehler定理 粒子群算法 鲁棒性 |
Particle-swarm-algorithm-based Optimization of Controller Parameters' Stability Domain |
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| ZHOU Zi-qiang,YAO Li-zhong,CHEN Shao-bing.Particle-swarm-algorithm-based Optimization of Controller Parameters' Stability Domain[J].Shanxi Electric Power,2011(5):26-29. |
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| Authors: | ZHOU Zi-qiang YAO Li-zhong CHEN Shao-bing |
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| Affiliation: | ZHOU Zi-qiang1,YAO Li-zhong1,CHEN Shao-bing2(1.Shanxi Electric Power Research Institute,Taiyuan,Shanxi 030001,China,2.Southeast University,Nanjin,Jiangsu 210096,China) |
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| Abstract: | An optimized PID controller was developed using an accurate system with time-delay.The stability domain of closed loop systems was worked out using the generalized Hermite-Biehler theorem.In stability domain,PSO algorithm is used for identifying the optimized controller parameters based on indicator function.The simulation shows that the proposed method can effectively control the class of higher-order,and time delay system and is robust against modeling uncertainties. |
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| Keywords: | generalized Hermite-Biehler theorem particle swarm optimization robustness |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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