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迭代步进值递减的果蝇优化算法在PID整定中的应用 被引量:3

Application of Drosophila Optimization Algorithm in PID Tuning
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摘要 PID控制器参数决定着系统控制效果,因此需要在参数空间中选择最佳的参数,使系统控制性能达到最优。果蝇优化算法在计算精度和运算速度上比传统方法有着显著的提高,在解空间上可以快速高效的得到全局最优解,但是也极易陷入局部最优。自动电压调节器(AVR)系统通常采用PID控制器,为了更加有效地获得PID参数进行在线调整,仿真结果表明改进的果蝇优化算法比原来的算法在PID控制器中获得了更好的控制性能,改进算法具有一定的实用价值。 PID controller parameter determines the system control effect,so it is necessary to choose the best KfKdK1 parameters in parameter space of the system to achieve optimal performance.Compared with the traditional method,Drosophila optimization algorithm has been improve in both precision and speed,which can get quickly the global optimal solution,but is also easy to fall into local optimum.PID controller is usually adopted in Automatic Voltage Regulator (AVR) system.In order to optimum PID parameter online setting,the simulated result shows that this improved method can obtain better control performance in PID controller,which is of practical value.
作者 孟桂艳 张伟
出处 《青岛大学学报(自然科学版)》 CAS 2017年第3期19-24,共6页 Journal of Qingdao University(Natural Science Edition)
基金 "十一五"国家重点课题基金资助项目(批准号:FIBO070335-A2-03)资助
关键词 AVR控制系统 果蝇优化算法 迭代步进值 DR-PID AVR control system drosophila optimization algoritm iterative step value DR-PID
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