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A novel sensorless control for switched reluctance motor based on gradient of phase inductance is presented. In this method, current chopped control is adopted during the un-energised period. For chopping at currents near zero, continuous monitoring of phase inductance is possible. This proposed method uses the change of the gradient of the phase inductance to detect the un-aligned position. Experimental...
Accurate rotor position estimation of Switched Reluctance Motor is vital but still a great challenge for sensorless control. In this paper, a new position estimation method is proposed. The estimated three phase inductances can be seen as vectors with fixed phase difference, which are located in the a-b-c stationary coordinate system. Rotating the a-b-c coordinate system with a δ angle, a new aδ-b...
A novel high performance torque control scheme for switched reluctance motors(SRMs) is proposed based on online fuzzy neural network modeling and adaptive sliding-mode current control. Firstly, an adaptive neural fuzzy inference system(ANFIS) is designed to learn the nonlinear static position-torque-current characteristic and the flux-linkage characteristic of an SRM offline. Then each phase torque...
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...
Accurate modeling of flux-linkage characteristics is the basis of design and control of switched reluctance motor (SRM). The flux-linkage characteristic of SRM is a function of both the excitation current and rotor position. But due to the highly nonlinear characteristics of SRM, modeling is cumbersome. In this paper, three effective algorithms for modeling of SRM are investigated, which are based...
In this paper the existing SSRMs are reviewed. Four novel SSRMs which are 8/6 SSRM with bipolar excitation, SSRM with toroidal windings, SSRM with C-shaped modular stators and SSRM with E-shaped modular stators respectively are proposed. The structures and the basic working principles of four novel SSRMs are introduced and the virtues and demerits of them are analyzed and compared. The concept of...
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...
In this paper, two kinds of control strategies applied to a switched reluctance motor (SRM) with 12/8 teeth configuration have been analyzed based on a three-phase bridge converter. The first strategy is that the three phase SRM windings have to be connected in delta, with a separate diode connected in series with each phase, which is possible to control the voltage and current of each phase independently...
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