Tuning of PID Controller Using Whale Optimization Algorithm for Different Systems

Uzair Khaleeq uz Zaman, Kanwal Naveed, Atal.A. Kumar
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Abstract

In this paper, a recently developed meta-heuristic optimization method, Whale optimization Algorithm (WOA) is used to tune the parameters of PID controller for different systems. The algorithm is evaluated by setting integral absolute error and integral time absolute error as objective function for various transfer functions. The results obtained are compared with Ziegler-Nichols (Z-N), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results prove the effectiveness of the proposed algorithm and provides the researchers with options for improved system performance.
基于鲸鱼优化算法的不同系统PID控制器整定
本文采用一种新发展的元启发式优化方法鲸鱼优化算法(Whale optimization Algorithm, WOA)对不同系统的PID控制器参数进行整定。将积分绝对误差和积分时间绝对误差作为各种传递函数的目标函数,对算法进行了评价。将所得结果与Ziegler-Nichols (Z-N)、遗传算法(GA)和粒子群算法(PSO)进行了比较。结果证明了该算法的有效性,并为研究人员提供了改进系统性能的选择。
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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