Position control of a linear switched reluctance motor based on the self-tuning regulator

This paper presents a self-tuning regulator (STR) with considering external load disturbance and saturation characteristics for position control of a linear switched reluctance motor (LSRM). STR is applied to overcome the position precision loss owing to the factors of nonlinear characteristics of LSRM, manufacturing imperfection, saturation characteristics of drivers and external load disturbances. In this paper, the LSRM system is described by the single-input, single-output discrete model and the parameters of the model are estimated by the Recursive Least Square algorithm. Then a STR based on the pole placement algorithm with considering external load disturbance and saturation characteristics is applied to the LSRM for accurate position tracking. The simulation and experimental results demonstrate that this method is effective in parameters estimation, position tracking response, robustness to the disturbances.