Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13586
Title: Modeling of switched reluctance motors for torque control
Authors: ZHENG QING
Keywords: Switched reluctance motors; Flux-linkage modelling; Torque modelling; Torque ripple minimization; Optimization of current waveforms
Issue Date: 29-Dec-2003
Source: ZHENG QING (2003-12-29). Modeling of switched reluctance motors for torque control. ScholarBank@NUS Repository.
Abstract: This thesis reports an investigative study on application of intelligent tools for switched reluctance motors(SRM) modelling and high performance torque control. In this thesis, analytical model based approaches and blackbox based approaches are applied for the modelling of the SRM. For the analytical model based approaches, a Levenberg-Marquardt gradient expansion method and a genetic algorithm(GA) are used for flux-linkage modelling and torque modelling. For the model-free blackbox based approaches, artificial neural network(ANN) techniques are employed for flux-linkage modelling, torque modelling as well as inverse torque modelling. Simulation and experimental results verify the effectiveness of the derived models for achieving high accuracy and their respective advantages. Subsequently, GA is employed to determine the desired current waveforms of the SRM for torque ripple minimization through generating appropriate reference phase torques for a given desired torque. Simulation results verify the effectiveness of the proposed torque sharing function and fitness function.
URI: http://scholarbank.nus.edu.sg/handle/10635/13586
Appears in Collections:Master's Theses (Open)

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