In order to obtain more accurate predicted dynamic steady-state performance with shorter computation time, an available mathematical model is modified and presented. Using this modified model, performance of a typical switched reluctance motor (SRM) under a wide range of variations of operating conditions is obtained and discussed. These include variations of speed, voltage, load and switching ...

An incremental motion control problem, specified by a trapezoidal speed command profile using multisegment sliding mode control (MSSMC), is proposed to control synchronous reluctance motor (SRM) servo drive. Since the control gains in the MSSMC are fixed, chattering responses occur due to large external load disturbances. Therefore, a neural network (ANN) is developed to tune the control gains ...

This paper presents a new control structure to reduce torque ripple in switched reluctance motor. Although SRM possesses many advantages in motor structure, it suers from large torque ripple that causes some problems such as vibration and acoustic noise. In this paper another control loop is added and torque ripple is de ned as an objective function. By using fuzzy sliding mode strategy, the DC...

The torque ripple of a switched reluctance motor (SRM) limits its application in electric vehicles. This paper proposes DITC system for SRMs based on novel multilevel converter (MLC), which aims at the problem that cannot be effectively suppressed conventional direct instantaneous control (DITC) an SRM due to limitation DC bus voltage asymmetric half-bridge (AHBC) and single strategy formulated...

To improve the endurance and charging flexibility of electric vehicle battery packs, this paper proposes a multi-battery block module (MBM) topology for four-phase switched reluctance motors (SRMs), which not only allows flexible operation, but also achieves fast demagnetization excitation. By integrating photovoltaic (PV)panel into an asymmetrical half-bridge (AHB)converter, MBM is designed to...

Direct torque control (DTC) of Switched reluctance motor is known to have simple control structure with comparable performance. However, the role of optimal selection of the voltage space vector is one of the weakest points in a conventional DTC drive. In this paper optimal selection of voltage space vectors is achieved using GA based neural network. Simulations results validate the proposed in...