| 基于微粒群优化算法的二自由度PID调节器的设计 |
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| 引用本文： | 王海稳,张井岗,曲俊海.基于微粒群优化算法的二自由度PID调节器的设计[J].计算机工程与应用,2009,45(16):87-89. |
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| 作者姓名： | 王海稳 张井岗 曲俊海 |
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| 作者单位： | 1.太原科技大学 电子信息工程学院自动化系，太原 030024 2.中国兵器工业集团 第207研究所，太原 030006 |
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| 摘 要： | 提出了一种新二自由度PID调节器的设计方法。基于灵敏度函数，采用PSO优化算法对二自由度PID参数进行自适应调整，仿真结果和改进的遗传算法进行比较，系统同时具有良好的跟随性能和抗干扰能力，所设计的二自由度调节器具有很强的鲁棒性，证明了PSO算法的有效性。
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| 关 键 词： | 二自由度PID调节器 微粒群算法 优化设计 |
| 收稿时间： | 2008-4-15 |
| 修稿时间： | 2008-7-10
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Optimal design for two-degree-of-freedom PID regulator based on Particle Swarm Optimization algorithm |
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| WANG Hai-wen,ZHANG Jing-gang,QU Jun-hai.Optimal design for two-degree-of-freedom PID regulator based on Particle Swarm Optimization algorithm[J].Computer Engineering and Applications,2009,45(16):87-89. |
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| Authors: | WANG Hai-wen ZHANG Jing-gang QU Jun-hai |
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| Affiliation: | 1.Automation Department，Taiyuan University of Science and Technology，Taiyuan 030024，China 2.China North Industries Group 207 Research Institute，Taiyuan 030006，China |
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| Abstract: | A kind of new design method for two degree of freedom(2DOF) PID regulator is presented.Based on sensitivity function,the parameters of two degree of freedom PID regulator are adaptively adjustable using Particle Swarm Optimization(PSO) algorithm,the comparisons of simulation results with the improved GA are given,better dynamic response performance of both command tracking and disturbance rejection characteristics can be achieved simultaneously,the optimal 2-DOF PID regulator has good robustness,the simulat... |
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| Keywords: | two-degree-of-freedom PID regulator particle swarm algorithm optimization design |
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