Speed Control of DC Series Motor PV System via Improved Harmony Search Algorithm

E. Ali
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引用次数: 1

Abstract

This article introduces the speed adjustment of the DC motor solar system. The developed design matter of the speed controller is established as an optimization problem. Improved Harmony Search Algorithm (IHSA) is employed to seek for optimum Proportional Integral (PI) parameters of speed controller by diminishing the time domain cost function. The performance of the suggested IHSA based speed control of DC motor has been contrasted with Particle Swarm Optimization (PSO) and the traditional PI controller found by Ziegler Nichols (ZN) under diverse operating cases and disturbances. The results of the suggested IHSA are confirmed via time domain analysis, and diverse performance indices. Simulation results have proven the influence of the developed approach in adjusting the speed of the DC motor over PSO and traditional algorithms.
基于改进和谐搜索算法的直流串联电机光伏系统速度控制
本文介绍了直流电机太阳能系统的调速方法。将速度控制器的设计问题建立为优化问题。采用改进的和谐搜索算法(IHSA)通过减小时域代价函数来寻找速度控制器的最优比例积分参数。在不同工况和扰动下,将基于IHSA的直流电动机速度控制与粒子群优化(PSO)和Ziegler Nichols (ZN)的传统PI控制器进行了对比。通过时域分析和不同的性能指标,验证了所提IHSA的结果。仿真结果证明了该方法在直流电机调速方面的效果优于粒子群算法和传统算法。
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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