Adaptive fuzzy logic speed controller for brushless DC motor

K. Premkumar, B. Manikandan
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引用次数: 18

Abstract

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.
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无刷直流电动机的自适应模糊逻辑速度控制器
本文提出了一种基于自适应模糊逻辑和PI控制算法的无刷直流电动机速度控制新方法。利用MATLAB工具箱制定和设计了模糊逻辑和PI控制器。采用无刷直流电动机的上升时间、峰值超调量、恢复时间、稳定时间和稳态误差等参数对控制器的性能进行了分析。仿真结果表明,与经典PI控制器相比,采用自适应模糊逻辑控制的无刷直流电动机具有满意的响应和良好的阻尼性能。
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