Zhiquan Deng

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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(More)
This paper proposes a new sensorless control approach for switched reluctance motor (SRM) in the single pulse control mode in high speed operation. The sensorless method uses the cross point position of transformer electromotive force (EMF) and motional back electromotive force (BEMF) to estimate the rotor position. The cross point position can be derived(More)
A five-phase six-leg switching power amplifier was designed for five degrees of freedom (5-DOF) magnetic levitation bearing system. This amplifier carries characteristics of small size and simple control. This study analyzes its structural composition and operating principles. The control of 5-DOF magnetic levitation bearing was achieved through combination(More)
High torque density, wide speed range are required in electric motors used in electric vehicles. Based on the comparison of flux-weakening capability of alternate and all poles wound machines, this paper employs twisted-rotor structure and chooses the optimal twist angle to improve the symmetry of flux-linkage of alternate poles wound FSPM machine without(More)
As switched reluctance motors (SRM) generally offer a simple and robust design, they are very suitable for an aircraft main engine fuel pump drive which needs to be actuated by fault tolerant drives. Based on analytical comparison the merits and demerits of some different machine topologies including redundancies, a six phase 12/8 fault-tolerant SRM is(More)