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Torque Control of BLDC Motor Using ANFIS Controller


H.Jagadeeswara Rao , JNTUA COLLEGE OF ENGINEERING; M.Anka Rao; M.Vijaya Kumar


Quickened Torque, Brushless Dc Motor (BLDCM), Influence Torque, Electromagnetic Torque, Aggravation, Torque Ripple


In this paper, A novel design of an adaptive neuro fuzzy inference system(ANFIS) for controlling some of the parameters, such as speed, torque, flux, voltage, current, etc. of the brushless dc motor is presented.. exact quickened torque control for a brushless dc motor (BLDCM) is accomplished by electromagnetic torque control and influence torque concealment. To start with, the electromagnetic torque ripple is diminished in commutation and conduction areas. In previous case, the ripple is smothered by covering recompense control and improving the obligation proportion of the dynamic controller. In recent, the unbalance ripple caused by the uneven three phase windings is diminished by the proposed asymmetry compensation capacity, the aggravation ripple made by the back electromotive power (EMF) is repaid by feed forward control. Second, the aggravation torque has been observed and compensated through the unsettling influence torque controller whose compensation coefficient is acquired by line-to-line back EMF coefficient estimation. In order to verify the effectiveness of the controller, the simulation results are compared with PI controller. The simulation result show that the overall performance of ANFIS based BLDC motor is much better when compared to PI controller under different operating conditions

Other Details

Paper ID: IJSRDV3I80127
Published in: Volume : 3, Issue : 8
Publication Date: 01/11/2015
Page(s): 175-179

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