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The least square support vector machine (LS-SVM) inductance model optimized by the particle swarm optimization (PSO) algorithm is presented for bearingless switched reluctance motor (BSRM). The training sample is first obtained using the 3D finite element model (FEM) of the prototype, and then LS-SVM model is built, whose hyper-parameters are optimized using PSO algorithm. The absolute error and relative...
Inductance characteristic has a great effect on bearingless switched reluctance motor (BSRM) control which is difficult to solve accurately. Particle swarm optimization (PSO) is used in back propagation neural network (BPNN) inductance model. When the BPNN is trained with sufficient samples, PSO is applied to optimize weights of BPNN. Building the PSO-BPNN model of inductance and evaluating performances...
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