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Adaptive fuzzy logic speed controller for brushless DC motor

机译:无刷直流电动机的自适应模糊逻辑速度控制器

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摘要

A novel method for speed control of brushless dc motor using adaptive fuzzy logic and PI control algorithms has been presented in this paper. Fuzzy logic and PI controllers are formulated and designed using MATLAB toolbox. The parameters such as rise time, peak overshoot, recovery time, settling time and steady state error of a brushless DC motor are taken for analyzing the performance of the proposed controller. The simulation result demonstrated that the response of brushless dc motor with adaptive fuzzy logic shows satisfactory and well damped performance compared to classical PI controller.
机译:本文介绍了一种新型使用自适应模糊逻辑和PI控制算法的无刷直流电动机的速度控制方法。使用MATLAB工具箱配制和设计模糊逻辑和PI控制器。诸如无刷直流电动机的升高时间,峰值过冲,恢复时间,稳定时间和稳态误差的参数用于分析所提出的控制器的性能。与经典PI控制器相比,仿真结果表明,具有自适应模糊逻辑的无刷直流电动机的响应显示出令人满意和井的阻尼性能。

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