Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect

Linear switched reluctance motor with segmented secondary (LSRMSS) is a new type of linear switched reluctance motor (LSRM) and has become an alternative for direct linear driving systems due to its high power and thrust density compared to the conventional LSRM. Performance estimation of LSRMSS is a tough task because of its critical local saturation effect on iron. To precisely estimate and investigate the dynamic performance of LSRMSS, a highly efficient and accurate nonlinear inductance function (NIF) considering iron saturation effects is developed in this paper. The inductance model of LSRMSS is derived based on an established magnetic equivalent circuit (MEC), facilitating machine performance estimation. The accuracy of the model is verified by comparing the results with finite element simulations (FEA). The end effect and mutual inductance effect are considered to improve the accuracy of the proposed NIF model, and key dimensions affecting machine performance are considered. Finally, the prototype of LSRMSS is manufactured, and the experimental testing platform is built. The measured results are in good agreement with the simulation results, validating the feasibility of the proposed nonlinear model.