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Performance Evaluation of Hybrid Fuzzy PI Speed Controller for Brushless DC Motor for Electric Vehicle Application

机译:电动汽车应用无刷直流电动机混合模糊PI速度控制器的性能评价

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In future Electric vehicles (EV) are trend setters for transportation with zero greenhouse gas emission and higher efficiency. In EV applications, Brushless DC motors (BLDCM) are most predominantly used. Here, a Hybrid Fuzzy PI controller is intended for effective speed regulation of BLDCM. In general, Fuzzy logic controllers (FLC) provide better transient performance and results steady state error. The PI speed controller gives good steady state performance but poor transient performance. For getting an excellent performance, the referred Hybrid fuzzy PI controller combines the merits of the above two controllers. Also, this paper presents relative study among PI, FLC and Hybrid Fuzzy PI controller for a BLDCM. In Matlab/Simulink environment, the BLDCM with proposed controller is designed and simulated. Results prove the predominance of intended Hybrid Fuzzy PI for BLDC motors.
机译:在未来的电动车(EV)中是趋势稳定者,用于运输零温室气体排放和更高效率。在EV应用中,无刷直流电机(BLDCM)最主要使用。这里,混合模糊PI控制器旨在用于BLDCM的有效调节。通常,模糊逻辑控制器(FLC)提供更好的瞬态性能和结果稳态误差。 PI速度控制器提供良好的稳态性能,但瞬态性能差。为了获得优异的性能,所引用的混合模糊PI控制器结合了上述两个控制器的优点。此外,本文提出了BLDCM的PI,FLC和混合模糊PI控制器的相对研究。在MATLAB / SIMULINK环境中,设计和模拟了具有所提出控制器的BLDCM。结果证明了BLDC电动机预期混合模糊PI的优势。

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