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A comparative study of PID, ANFIS and hybrid PID-ANFIS controllers for speed control of Brushless DC Motor drive

机译:PID,ANFIS和混合PID-ANFIS控制器在无刷直流电动机驱动器速度控制中的比较研究

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This paper presents a comparative study of various controllers for the speed control of Brushless Direct Current Motor (BLDCM) to improve a performance of control. The most commonly used controller for the speed control of BLDCM is Proportional Integral Derivative (PID) controller. However, the PID controller has advantages such as: a good response, the simple structure and robustness of method, but it has disadvantages such as: optimally tuning gains of PID have been quit difficult and it cannot adapt a non-linier state of plant. Further, ANFIS controller has the ability to automatically learn and adapt with a state of plant. A novel hybrid controller that combines the advantages of PID controller and ANFIS controller is desired to improve the response of plant. To model of BLDCM is used an identification system method. Simulation results are presented and analyzed for all the controllers. It is observed that hybrid PID-ANFIS based controllers give better responses than PID or ANFIS for the speed control of BLDCM drive.
机译:本文对用于无刷直流电动机(BLDCM)的速度控制的各种控制器进行了比较研究,以提高控制性能。 BLDCM速度控制中最常用的控制器是比例积分微分(PID)控制器。但是,PID控制器具有以下优点:响应性好,方法简单,方法鲁棒性强,但缺点是:很难对PID的最佳增益进行优化调整,并且无法适应工厂的非线性状态。此外,ANFIS控制器具有自动学习并适应工厂状态的能力。需要一种新颖的混合控制器,其结合了PID控制器和ANFIS控制器的优点,以改善设备的响应。为了对BLDCM建模,使用了一种识别系统方法。给出并分析了所有控制器的仿真结果。可以观察到,对于BLDCM驱动器的速度控制,基于混合PID-ANFIS的控制器给出的响应比PID或ANFIS更好。

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