Tuning PID Controller Parameters of Automatic Voltage Regulator (AVR) Using Particle Swarm Optimization : A Comparative Study

Sultan Alghamdi, Awadh Ba Wazir, Hassan Hadi H Awaji, A. Alhussainy, H. Sindi, M. Rawa
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引用次数: 1

Abstract

Proportional integral derivative controller is commonly used to control devices, which is a transfer function consisting of three parameters which are: Proportional Gain (kp), Integral Gain (ki) and Derivative Gain (kd). The problem of the PID controller is that the gains (kp, ki and kd) must be chosen carefully in order to get better performance. In this paper, Particle swarm optimization (PSO) applies to obtain these gains. PID controller applies to Automatic Voltage Regulator in this paper. Furthermore, this paper presents simulation results that are used for comparing the proposed gains of PID controller and base system gains based on performance criteria in the time domain (Transient Analysis), including the overshoot, rise time, settling time, and steadystate error. In addition, this paper presents a simulation for the terminal voltage response to show the efficiency of the PSO method compared with the Genetic Algorithm (GA) method and the simulated Annealing (SA) method.
用粒子群算法整定自动电压调节器(AVR) PID控制器参数的比较研究
比例积分导数控制器是常用的控制器件,它是由比例增益(kp)、积分增益(ki)和导数增益(kd)三个参数组成的传递函数。PID控制器的问题是增益(kp, ki和kd)必须仔细选择,以获得更好的性能。本文采用粒子群算法(PSO)来获得这些增益。本文将PID控制器应用于自动调压器。此外,本文还提供了仿真结果,用于比较基于时域(瞬态分析)性能标准的PID控制器增益和基本系统增益,包括超调、上升时间、稳定时间和稳态误差。此外,本文还对终端电压响应进行了仿真,对比遗传算法(GA)和模拟退火(SA)方法,验证了PSO方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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