Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158420
Title: Modeling and control of a switched reluctance motor using simulation software
Authors: Wu, Qibang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Wu, Q. (2022). Modeling and control of a switched reluctance motor using simulation software. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158420
Abstract: Switched Reluctance Motor drive system (SRD) integrates modern power electronic technology and automatic control technology as a whole. With its characteristics of simple structure, low cost and excellent speed regulation performance, it has become one of the hottest topics in the field of electric drive. This dissertation focuses on the theme of realizing the design of switched reluctance motor drive system with high efficiency and energy saving. Based on learning and summarizing the relevant literatures, the research of the control strategy and controller of this system is carried out. First, the basic characteristics and working principle of switched reluctance motor are analyzed. Second, the speed regulation characteristics of switched reluctance motor can be obtained after its basic equation and linear model are introduced. In contrast to the advantages and disadvantages of various control strategies, it is finally determined that Current Chopping Control (CCC) strategy is used to design SRD. In order to verify the feasibility and practicality of Current Chopping Control strategy, this dissertation researches and simulates the SRD on the platform of MATLAB/SIMULINK and JMAG. Simulation results demonstrate convincingly that the CCC strategy helps the motor performs well and the ripples of its current and torque are acceptable.
URI: https://hdl.handle.net/10356/158420
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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