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Speed Control of Permanent Magnet Brushless DC Motor Using Hybrid Fuzzy Proportional plus Integral plus Derivative Controller

机译:用混合模糊比例加积分加上衍生控制器速度控制永磁无刷直流电动机

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摘要

The main core of this work is to investigate two different digital controllers (Conventional PID Controller and Hybrid Fuzzy PID) on closed loop control of Permanent Magnet Brush Less Direct Current (PMBLDC) Motor. The application of intelligent control (fuzzy logic) technique is attempted in a Proportional -Integral- Derivative (PID) controller for tuning their parameters automatically in an online process. In-order to achieve desired speed, Hybrid Fuzzy-PID provides the finest set of solutions. The conventional PID controller and Hybrid Fuzzy-PID controller performances are analyzed both in steady state and dynamic operating condition with various set point speeds. The rise time, dead time, settling time and steady state error are the parameters considered for comparison. The results prove that, the Hybrid Fuzzy-PID controller offers better performance (Improvement in rise time. Reduction in settling time, No steady sate error) over the conventional PID controller. The simulation makes use of Lab VIEW Fuzzy-PID tool and it is implemented in real time through NI-DAQ 6009 with PMBLDC motor which is rated at 36V, 4A, 4000 RPM.
机译:这项工作的主要核心是在永磁刷的闭环控制上调查两个不同的数字控制器(传统的PID控制器和混合模糊PID)较少的直流电流(PMBLDC)电机。智能控制(模糊逻辑)技术在比例 - integral-导数(PID)控制器中的应用,用于在线过程中自动调整它们的参数。为了实现所需的速度,混合模糊PID提供了最佳的解决方案。传统的PID控制器和混合模糊PID控制器性能在具有各种设定点速度的稳态和动态操作条件下进行分析。上升时间,死区时间,稳定时间和稳态误差是考虑的参数。结果证明,混合模糊PID控制器提供了更好的性能(上升时间的改进。传统PID控制器上的稳定时间,没有稳定的SATE错误)。该模拟利用实验室视图模糊PID工具,它通过NI-DAQ 6009实时实现,带有PMBLDC电机,额定为36V,4A,4000 RPM。

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