Vector Controlled PMSM Drive Based on AdaptiveNeuro-fuzzy Speed Controller

摘要

This paper presents the implementation of adaptive fuzzy neural networkrncontroller (FNNC) for accurate speed control of a permanent magnet synchronousrnmotor (PMSM). FNNC includes neural network controller (NC) andrnfuzzy logic controller (FC). It combines the capability of fuzzy reasoning inrnhandling uncertain information and the capability of neural network in learningrnfrom processes. The initial weights and biases of the artificial neural networkrn(ANN) are obtained by offline training method. Using the output of the fuzzyrncontroller (FC), online training is carried out to update the weights and biases ofrnthe ANN. Several results of simulation and experiment are provided to demonstraternthe effectiveness of the proposed FNNC under the occurrence of parameterrnvariations and external disturbance.