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首页> 外文期刊>Journal of control, automation and electrical systems >A New Meta-Heuristic Optimization Algorithm Inspired by FIFA World Cup Competitions: Theory and Its Application in PID Designing for AVR System
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A New Meta-Heuristic Optimization Algorithm Inspired by FIFA World Cup Competitions: Theory and Its Application in PID Designing for AVR System

机译:FIFA世界杯比赛启发的一种新的元启发式优化算法:理论及其在AVR系统PID设计中的应用

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This paper presents a new optimization algorithm based on human society's intelligent contests. FIFA World Cup is an international association football competition competed by the senior men's national teams. This contest is one of the most significant competitions among the humans in which people/teams try hard to overcome the others to earn the victory. In this competition there is only one winner which has the best position rather than the others. This paper introduces a new technique for optimization of mathematic functions based on FIFA World Cup competitions. The main difficulty of the optimization problems is that each type of them can be interpreted in a specific manner. World Cup Optimization (WCO) algorithm has a number of parameters to solve any type of problems due to defined parameters. For analyzing the system performance, it is applied on some benchmark functions. It is also applied on an optimal control problem as a practical case study to find the optimal parameters of PID controller with considering to the nominal operating points (K_g, T_g) changes of the AVR system. The main objective of the proposed system is to minimize the steady-state error and also to improve the transient response of the AVR system by optimal PID controller. Optimal values of the PID controller which are achieved by WCO algorithm are then compared with particle swarm optimization and imperialist competitive algorithm in different situations. Finally for illustrating the system capability against the disturbance, it is applied on a generator with disturbance on it and the results are compared by the other algorithms. The simulation results show the excellence of WCO algorithm performance into the nature base and other competitive algorithms.
机译:本文提出了一种基于人类社会智能竞赛的优化算法。 FIFA世界杯是由国际高级男子国家队参加的国际协会足球比赛。这项比赛是人类中最重要的比赛之一,人们/团队努力克服其他比赛以获得胜利。在这场比赛中,只有一名优胜者拥有最佳位置,而不是其他。本文介绍了一种基于FIFA世界杯比赛优化数学功能的新技术。优化问题的主要困难在于,它们的每种类型都可以以特定的方式进行解释。世界杯优化(WCO)算法具有许多参数,可以解决由于定义参数而导致的任何类型的问题。为了分析系统性能,将其应用于某些基准功能。它也被应用于一个最优控制问题,作为一个实际案例研究,以考虑AVR系统的标称工作点(K_g,T_g)变化找到PID控制器的最优参数。拟议系统的主要目的是通过最佳PID控制器使稳态误差最小,并改善AVR系统的瞬态响应。然后将通过WCO算法获得的PID控制器的最优值与粒子群优化和帝国竞争算法在不同情况下进行比较。最后,为了说明系统抵抗干扰的能力,将其应用到受干扰的发电机上,并通过其他算法比较结果。仿真结果证明了WCO算法在自然基础和其他竞争算法中的卓越性能。

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