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A dq model representation of segmented secondary linear flux switching motors (SSLFSMs) is investigated. In these motors, the armature and field windings are both mounted in the primary slots and the secondary is only composed of simple laminated segments. This type of motors inherits both merits of high force density from linear synchronous motors and simple secondary structure from linear induction motors. Due to its simple and consequently low-cost secondary structure, it is applicable to transportation systems like Maglev. Position and speed control of this motor is essential for rail transportation applications. Therefore, derivation of an appropriate analytical model for control purposes is needed. An analytical method to represent the dq model of SSLFSMs is presented. Employing this method, the d-and q-axis inductances and the developed electromagnetic thrust and normal force are calculated. To verify the proposed model, three different finite-element methodbased models are studied and one is chosen as the basis for comparison. All results obtained by the analytical model are verified by this finite-element method-based model. Moreover, a prototype of SSLFSMs is built to validate the study.

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By having accurate knowledge of the magnetic field distribution and the thrust calculation in linear synchronous motors, assessing the performance and optimization of the motor design are possible. In this paper, after carrying out a performance analysis of a single-sided wound secondary linear synchronous motor by varying the motor design parameters in a layer model and a d-q model, machine single-and multi-objective design optimizations are carried out to improve the thrust density of the motor based on the motor weight and the motor efficiency multiplied by its power factor by defining various objective functions including a flexible objective function. A genetic algorithm is employed to search for the optimal design. The results confirm that an overall improvement in the thrust mean, efficiency multiplied by the power factor, and thrust to the motor weight ratio are obtained. Several design conclusions are drawn from the motor analysis and the design optimization. Finally, a finite element analysis is employed to evaluate the effectiveness of the employed machine models and the proposed optimization method.