| 基于改进遗传算法的PID参数整定 |
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| 引用本文： | 张志刚,杜永贵.基于改进遗传算法的PID参数整定[J].太原理工大学学报,2005,36(4):416-418,422. |
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| 作者姓名： | 张志刚 杜永贵 |
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| 作者单位： | 太原理工大学,信息工程学院,山西,太原,030024 |
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| 摘 要： | 为了克服基本遗传算法收敛速度和寻优效果的不足,提出一种改进交叉和选择操作的遗传算法,并把它应用于PID控制器参数的优化中。仿真试验结果表明,该算法PID参数整定效果优于基本遗传算法,不仅解决了遗传算法存在的缺陷,而且提高了寻优精度和快速收敛性能。
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| 关 键 词： | 遗传算法 PID控制器 参数整定 |
| 文章编号： | 1007-9432（2005）04-0416-03 |
| 收稿时间： | 2004-10-25 |
| 修稿时间： | 2004-10-25 |
Self-tuning of PID Parameters Based on An Improved Genetic Algorithm |
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| ZHANG Zhi-gang,DU Yong-gui.Self-tuning of PID Parameters Based on An Improved Genetic Algorithm[J].Journal of Taiyuan University of Technology,2005,36(4):416-418,422. |
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| Authors: | ZHANG Zhi-gang DU Yong-gui |
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| Abstract: | In order to overcome the deficiency and limitation of basic genetic algorithm(BGA),the authors presents a new GA for parameter optimization of PID controller, and give the simulation results of the whole works. The comparison of simulations shows.The result of improved enetic algorithm(IGA) optimizin parameters of PID is better than it of Basic genetic Algorithm doing Moreover.It resolves the deficiency in the course of BGA optimizin parameters of PID controtter,improves optimization precision and convergence performance. |
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| Keywords: | genetic algorithm PID controller parameter-tuning |
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