Speed control of a BLDC Motor using Fuzzy Logic Controller

The speed control of the Permanent Magnet Brush Less Direct Current (PMBLDC) Motor is of high importance since it indirectly controls the mechanical output required and hence the efficiency. The control on this parameter has been demonstrated in various papers using various controllers like PWM, PI, Fuzzy and Neural Networks (NN) etc. In this paper an attempt has been made to analyze the result of PI Controller, by using the appropriate K_p and K_i value in order to get the constant control on the speed of a Brush Less Direct Current (BLDC) motor. Further an attempt as an assessment has been made in designing an alternative controller to minimize steady state error and obtain better result for the control of the speed parameter of a BLDC Motor. A Fuzzy Logic Controller (FLC) has been designed to compare the PI Controller output with the FL Coutput. The results are then compared and analyzed. It is thereby concluded that the FLC offers better adaptability than the normal linear PI controller and that the PMBLDC drive offers better steady-state and dynamic performances.