A novel modified fly optimization algorithm for designing the self-tuning proportional integral derivative controller

被引：27

作者：

Li, Chunquan ^{[1
]}

Xu, Shaoping ^{[2
]}

Li, Wen ^{[3
]}

Hu, Lingyan ^{[3
]}

机构：

[1] School of Mechatronics Engineering, School of Information Engineering, Nanchang University, Nanchang, 330031, China

[2] School of Information Engineering, Nanchang University, Nanchang, 330031, China

[3] School of Information Engineering, Nanchang University, Nanchang, 330031, China

来源：

Journal of Convergence Information Technology | 2012年 / 7卷 / 16期

关键词：

Electric control equipment - Particle swarm optimization (PSO) - Two term control systems - Controllers - Parameter estimation - Proportional control systems;

D O I：

10.4156/jcit.vol7.issue16.9

中图分类号：

学科分类号：

摘要：

A novel Modified Fly Optimization Algorithm (MFOA) is proposed for determining the optimal Proportional Integral Derivate controller parameter. The Modified Fly Optimization Algorithm principle is elaborated and utilized to find effectively the optimal PID controller parameter. Some simulation results show that in contrast to the FOA-PID controller, the MFOA-PID controller is more optimal, effective and quick; Further, with respect to the Particle Swarm Optimization (PSO) PID controller, MFOA PID controller shows the close optimized performance in self-tuning PID controller, however, its searching speed is quite faster than PSO-PID.

引用

页码：69 / 77