基于改进人工鱼群算法的PID控制器参数优化  

Optimization of PID Controller Parameters Based on Improved Artificial Fish Swarm Algorithm

作　　者：吴姗姗[1] 黄友锐[1] 

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《安徽理工大学学报（自然科学版）》2013年第2期23-26,55,共5页Journal of Anhui University of Science and Technology:Natural Science

基　　金：国家自然科学基金资助项目(61073101);安徽高校省级自然科学研究重点资助项目(KJ2011A095)

摘　　要：针对基本人工鱼群算法易陷入局部极值,难以保证得到全局最优解的问题,提出基于改进人工鱼群算法的PID控制器参数优化方法,在其基础上,引入了攻击行为,即当水中的食物稀少时,鱼就会因为抢夺食物而发生攻击其他鱼的行为。通过仿真实验证明,具有攻击行为的人工鱼群算法有助于引导人工鱼跳出局部最优解域,在全局范围内搜索最优解,提高了PID控制器参数优化的效率。Due to basic artificial fish swarm algorithm easy to fall into local extremum, and difficult to guarantee to get global optimal solution, PID controller parameters optimization method based on improved artificial fish swarm algorithm was proposed, in which aggressive behavior was introduced, that is, when scarcity of food in water, the behavior that a fish attacks other fishes occurs because of food snatching. The results of simulation ex- periments showed that the artificial fish swarm algorithm with the aggressive behavior can help the artificial fish to jump out of the local optimal solution domain and seek it in the global range so that improve the efficiency of the PID controller parameters optimization.

关 键 词：人工鱼群算法 PID控制器 优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]