A study on fuzzy controller and neuro-fuzzy controller for speed control of PMSM motor
S. Sakunthala, Rachamadugu Kiranmayi, P. Nagaraju Mandadi · 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) · 2017
Permanent Magnet Synchronous Motors (PMSM) are a popular method for motion actuation due to their long life, efficient use of power and low maintenance requirements. PMSM have been used widely in the control system of high performance depending development of the power electronic and control technology“, however, the performances of the PMSM are very hyper sensitive to the parameter and load variations. To overcome these problems several control schemes such as Fuzzy Logic Control (FLC), Neural Network (NN) and Sliding Mode Control have been preferred for speed control of the PMSM. FLC, NN algorithms have been used currently as effective methods in the control of system affected by the destroyed entrance which is unknown quality and unstraight line. Because of the absence of the structure of both methods has not been removed ANFIS algorithm has been created by the connection of both methods superiority. In this study, the ANFIS controller is designed for PMSM speed control.