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Neural Network (NN) has been proved ideal in nonlinear fitting. It is applied as the rotor position estimator in the Switched Reluctance Motors (SRMs) whose characteristic is highly nonlinear. However, the conventional BP NN based rotor position estimator was inappropriate to be implemented in real-time application at high speed operations, because of its considerable computational time consumption...
A new analytical model with a high accuracy and low computational cost for Switched Reluctance Motor (SRM) is presented in this paper, based on which an improved cross-coupled method of Synchronization control for dual-SRM is developed. In order to minimize the large computational cost in the existed torque computation methods, this paper establishes a fast torque computation model. It is applied...
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