Tuning FPID Controller for an AVR System Using Invasive Weed Optimization Algorithm

被引：3
|
作者：
Alawad, Nasir Ahmad [1 ]
Rahman, Nora Ghani [1 ]
机构：
[1] Almustansiriyah Univ, Fac Engn, Dept Comp Engn, Baghdad, Iraq
来源：
JORDAN JOURNAL OF ELECTRICAL ENGINEERING | 2020年 / 6卷 / 02期
关键词：
Automated voltage regulator; Model reduction techniques; Invasive weed optimization algorithm; Fractional proportional integral derivative controller; MATLAB package;
D O I：
10.5455/jjee.204-1581071239
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a design method to determine the optimal fractional proportional integral derivative (FPID) controller's parameters is proposed for automated voltage regulator (AVR). The AVR model is obtained utilizing two model reduction techniques, namely particle swarm optimization (PSO) and biogeography-based optimization (BBO) with the assistance of MATLAB and Simulink software package. For tuning the FPID controller, invasive weed optimization (IWO) algorithm is used with four unique performance indices: integral square error (ISE), integral time square error (ITSE), integral absolute error (IAE) and integral time weighted absolute error (ITAE). The results show that the IWO-designed FPID - compared to the classical proportional integral derivative controller (PID) - offers a better performance in terms of overshoot, rise time and settling time.
引用
收藏
页码：128 / 139
页数：12
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