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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...
This paper presents a performance analysis of Adaptive Neuro Fuzzy Inference Systems (ANFIS) which is applied to control the speed of Brushless Direct Current Motor (BLDCM). The proposed strategy of speed BLDCM controller is operating which is similar to the conventional direct current motor. This strategy is implemented base on quadratic axis control and zero direct axis current. The aim of the speed...
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