Multifidelity Surrogate Assisted Rapid Design of Transverse-Flux Permanent Magnet Linear Synchronous Motor

A Review of Transverse Flux Machines Topologies and Design

“…The operation, design and modeling of rotating, linear and tubular machines is quite similar (e.g., torque ripple in rotating machines versus force ripple in the linear case), that is why this review is mainly focused on rotating machines. Nevertheless, linear [4,9,10,21,[27][28][29][30][31][32][33][34][35][36][37][38][39][40][41] and tubular [11][12][13]33,[42][43][44][45][46][47][48][49][50][51][52][53][54] TFMs have specific applications that are presented at the end of this section. In any case, commercial exploitation of TFMs is currently limited to very few manufacturers [55][56][57].…”

Multi-Objective Optimization Design and Analysis of Double-Layer Winding Halbach Fault-Tolerant Motor

“…Design time can be greatly reduced by using the intelligent algorithms. Many scholars have introduced various intelligent algorithms into the optimization design of the motor body for different optimization goals [16][17][18][19]. An ant colony algorithm with continuous domains was used in [20] and the maximal output torque was obtained, but the parameter settings in the algorithm were usually determined by experimental methods, and there were empirical errors.…”

Data-driven optimization algorithm for economic operation of microgrid based on dynamic Kriging model and two-stage search strategy

“…Among many surrogate models, Kriging model not only has good fitting effect, but also gives the mean square error estimation of the estimated value at the same time [12]. Therefore, it is widely used in various practical engineering problems [13][14][15]. In this paper, Kriging model is used as the surrogate model.…”