Vector Superposition Equivalent Model-Based Position Sensorless Control of Segmented Long Primary Double-Sided Linear Induction Motor

In this article, a novel vector superposition equiva lent model is proposed for segmented long primary double-sided linear induction motor (LP-DSLIM) and a linear super-twisting sliding mode observer (LSTSMO) with second-order generalized integrator (SOGI) is designed to realize the position sensorless control. Firstly, the conventional unit motor mathematical model is introduced and its existing problem for position observation is analyzed. Then, the observability constraints of virtual secondary unit motor is derived, and the vector superposition equivalent model is constructed based on the above analysis. This novel vec tor superposition equivalent model can eliminate the parameter time-varying and non-differentiable terms caused by coupling factors. Subsequently, the LSTSMO with SOGI is designed to observe the position signal, which can improve the parameter robustness and accuracy compared with the general position observation method. Finally, the effectiveness and superiority of the proposed method are verified through simulation and experiments.