Speed Control of PMSM Drives by Using Neural Network Controller

This paper presents modeling, controller design and simulation of a PMSM drive. The hysteresis current controller is used for inner loop current control and PI controller for outer loop speed control. In this paper the design of a Neural Network based approach is used to enhance efficiency in a vector control of Permanent Magnet synchronous Motors (PMSM). The conventional Proportional-Integral (PI) controller is mainly used in industry because of the robustness this regulator acquires. But in some case, when the dynamics of the system changes over time or with operating conditions, the performance of the controller will be spoiled. The Artificial Neural Networks (ANN) used as a speed controller seems to be a promising solution in this purpose. In this study we apply a feed forward neural network in place of PI controllers of the vector control scheme of the PMSM. Analysis and simulation results are presented to demonstrate the validity of the proposed controller to ensure robustness against load and parameters variations and to achieve the required performances.