Vector control of hybrid stepping motor position servo system using neural network control

To achieve fast four-quadrant operation and smooth starting and acceleration, vector control is used in the design of the stepping motor servo system drive. The control performance of the stepping motor servo system drive still influenced by the uncertainties, such as external load disturbance, nonlinearity and motor parameter variations. Neural network is used as a supervisor to deal with nonlinearity and uncertainties of the system. Here, we propose a control strategy which combines the advantages of the integral-proportional (IP) controller, neural network and vector control, for the stepping motor position servo system drive