Robust position control for a field oriented linear brushless dc motor

This paper presents a robust state feedback controller for the linear brushless dc motor. The controller gains are calculated via solving the inverse dynamical system equations at all loads numerically. It has been found that the controller feedback gains for all the states are nonlinear functions of the load. Therefore, a neural network controller has been designed to provide the necessary gains at all loads. Computer simulations have been carried out in order to validate the effectiveness of the proposed scheme. The results show that accurate tracking performance of the linear brushless dc motor has been achieved. Moreover, the rise and settling times of the position response have been reduced significantly at all loads.