Sensorless PMSM Speed Control Based on NN Adaptive Observer
The AC motor control by neural networks includes the reconstruction errors in a certain degree, which can cause the non-convergence in the control results. To learn the complete system dynamics of the sensorless PMSM, a neural network adaptive speed control strategy is proposed to eliminate the NN reconstruction errors. A robust modification term, which is a function of estimation error and an additional tunable parameter, is introduced to guarantee the asymptotic stability of the speed estimation. A rotor-flux-oriented vector control is employed as the basic control strategy for the sensorless PMSM drive system. The simulation results demonstrated the validity and feasibility of the proposed control strategy.