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Firefly Algorithm Based Speed Control of DC Series Motor Powered by Photovoltaic System

机译:基于Firefly算法的光伏直流电动机调速系统。

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This paper presents the speed control of DC series motor supplied by Photovoltaic (PV) system. The proposed design problem of speed controller is formulated as an optimization problem. Firefly Algorithm (FA) is employed to search for optimal Proportional Integral (PI) parameters of speed controller by minimizing the time domain objective function. The performance of the proposed FA based speed control of DC series motor has been compared with Genetic Algorithm (GA) and the Conventional PI controller tuned by Ziegler Nichols (ZN) under various operating conditions and disturbances. The results of the proposed FA are demonstrated through time domain analysis, and various performance indices. Simulation results have shown the validity of the proposed technique in controlling the speed of DC series motor over GA and conventional algorithm.
机译:本文介绍了由光伏(PV)系统提供的直流串联电动机的速度控制。提出的速度控制器设计问题被表述为优化问题。萤火虫算法(FA)用于通过最小化时域目标函数来搜索速度控制器的最佳比例积分(PI)参数。拟议的基于FA的直流系列电动机速度控制的性能已与遗传算法(GA)和由Ziegler Nichols(ZN)调节的常规PI控制器在各种工况和干扰下进行了比较。通过时域分析和各种性能指标证明了拟议FA的结果。仿真结果表明,该算法在遗传算法和常规算法的控制下,可以有效地控制直流电动机的转速。

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