A neuro-fuzzy controller for speed control of a permanent magnet synchronous motor drive
This paper introduces a neuro-fuzzy controller (NFC) for the speed control of a PMSM. A four layer neural network (NN) is used to adjust input and output parameters of membership functions in a fuzzy logic controller (FLC). The back propagation learning algorithm is used for training this network. The performance of the proposed controller is verified by both simulations and experiments. The hardware implementation of the controllers is made using a TMS320F240 DSP. The results are compared with the results obtain from a Proportional+Integral (PI) controller. Simulation and experimental results indicate that the proposed NFC is reliable and effective for the speed control of the PMSM over a wide range of operations of the PMSM drive.
permanent magnet synchronous motor drive neural networks fuzzy logic control