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Magnetic bearing system controllers using $H_\infty$ algorithms provide excellent interference rejection capability and robustness. However, in the conventional $H_\infty$ control design, the order of the controller is much higher than that of the plant, making implementation in practical engineering applications difficult. To solve the problem, based on the requirements of the theory of mixed sensitivity...
The Intelligent control methods are drawing great attentions due to their strong adaptive ability and learning ability. Because of strongly nonlinear magnetic characteristics of switched reluctance motor(SRM), modeling of the torque characteristics is difficult. In this paper, the new torque modeling approach based on artificial neural network(ANN) is investigated, where the training data are obtained...
Based on the artificial neural networks(ANN), a new rotor position estimation method for switched reluctance motor(SRM) drives is investigated in this paper. The nonlinear magnetic characteristics of SRM, obtained by finite element analysis(FEA), are used as the training data. After sufficient training, the correlation among flux linkage, phase current and rotor position can be built up with the ANN...
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