| 基于改进GAAA算法的PID参数优化 |
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| 引用本文： | 张宪乐,江洪.基于改进GAAA算法的PID参数优化[J].计算机测量与控制,2006,14(11):1545-1547. |
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| 作者姓名： | 张宪乐 江洪 |
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| 作者单位： | 浙江机电职业技术学院,浙江,杭州,310053 |
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| 摘 要： | 针对PID参数优化问题，对蚁群算法进行改进，并与遗传算法相结合，提出了改进的GAAA算法；该算法先利用遗传算法获得初始信息，然后运行改进的蚁群算法，大大加快了蚁群算法的速度；对PID控制的参数优化与仿真结果表明，该优化方法无论在时间性能和优化性能上都取得了较好的效果。
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| 关 键 词： | PID遗传算法 蚁群算法 改进GAAA |
| 文章编号： | 1671-4598（2006）11-1545-03 |
| 收稿时间： | 2006-01-19 |
| 修稿时间： | 2006-03-03 |
Optimization Design Based on Improved GAAA Algorithm for Parameters of PID Controller |
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| Zhang Xianle,Jiang Hong.Optimization Design Based on Improved GAAA Algorithm for Parameters of PID Controller[J].Computer Measurement & Control,2006,14(11):1545-1547. |
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| Authors: | Zhang Xianle Jiang Hong |
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| Abstract: | An improved GAAA algorithm is proposed for the optimiza ti on of parameters of PID controller,which improved ant colony algorithm(AA) an d combined with genetic algorithm(GA) .This algorithm got initialized pheromone applying GA,then run an improved AA,so that accelerated the velocity of AA.The o ptimization of parameters of pid controller and simulation experiment showed tha t the method got very nice capability both on time and optimization. |
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| Keywords: | PID ant colony algorithms genetic algorithms improved GAAA algorithm |
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