| 基于模糊遗传算法的二自由度PID控制器优化设计 |
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| 引用本文： | 杨延西,刘丁. 基于模糊遗传算法的二自由度PID控制器优化设计[J]. 仪器仪表学报, 2006, 27(8): 868-872 |
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| 作者姓名： | 杨延西 刘丁 |
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| 作者单位： | 西安理工大学,西安,710048 |
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| 基金项目： | 教育部科学技术研究重点项目 |
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| 摘 要： | 针对一般遗传算法中交叉概率和变异概率存在的选择困难问题，利用模糊推理系统来自适应估计交叉概率和变异概率，提出了模糊遗传算法（FGAs），并用于二自由度PID控制器参数寻优设计。仿真和实验表明，所设计的二自由度PID控制器可以使系统同时具有良好的目标值跟随特性和干扰抑制特性。
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| 关 键 词： | 遗传算法 二自由度PID控制 模糊逻辑 优化设计 |
| 修稿时间： | 2005-04-01 |
Optimal design for 2-DOF PID controller based on fuzzy genetic algorithms |
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| Yang Yanxi,Liu Ding. Optimal design for 2-DOF PID controller based on fuzzy genetic algorithms[J]. Chinese Journal of Scientific Instrument, 2006, 27(8): 868-872 |
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| Authors: | Yang Yanxi Liu Ding |
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| Abstract: | To solve the difficult selecting problem of crossover probability and mutation probability of the basic generic algorithms,a fuzzy genetic algorithm(FGA) is presented.The crossover probability and mutation probability are adaptively estimated using the fuzzy logic system.The optimal design for 2-DOF PID controller based on FGA was realized.The simulation and experiment results confirm that very good dynamic response performances for both the command tracking and disturbance rejection were achieved simultaneously. |
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| Keywords: | generic algorithms 2-DOF(Degree of freedom) PID control fuzzy logic optimal design |
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