Multi parametric programming and exact linearization based model predictive control of a permanent magnet linear synchronous motor

Abstract

Linear motors have many advantages in compare with rotary motors due to directly creating linear motion without gears or belts,… It is hard to apply the online model predictive controller for electro-mechanism systems with input, output and state constraints because it requires the good ability in calculations of microcontroller and the nonlinear property of these models. In this paper, the exact linearization is applied to obtain the corresponding linear model and we propose the offline model predictive control law based on multi-parametric programming (MPP) for permanent magnet linear synchronous motors (PMLSM) to remarkably reduce amount of calculation. Thus, it is convenient for embedding the control law into microcontroller. Several simulation results show the ability of the proposed method in this paper.