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Particle Swarm Optimization Based Maximum Torque Per Ampere Control for a Switched Reluctance Motor

Title: A Particle Swarm Optimization Based Maximum Torque Per Ampere Control for a Switched Reluctance Motor.
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Name(s): Griffin, Lee, author
Edrington, Chris S., professor directing thesis
Andrei, Petru, committee member
Moss, Pedro, committee member
Department of Electrical and Computer Engineering, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2014
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: The Switched Reluctance Machine (SRM) is known for being one of the oldest electric machine designs. Unfortunately, it is usually assumed that this implies that the machine is outdated. However with the advent of microprocessors, the SRM has become a suitable option for a number of applications because the shortcomings of the machine can be mitigated with control. Compared to other machines, the SRM is more rugged, has a simpler structure, and is less expensive to manufacture. The machine has two control regions: when the speed of the machine is beneath a value called the base speed and when the speed is above the base speed. The base speed is the speed at which the back electromotive force (EMF) of the motor becomes substantial when compared to the source voltage. In both regions, the turn-on and turn-off angles of the machine can be used to control the machine. This thesis proposes a method of generating optimal turn-on and turn-off angles. The method presented in this thesis is concerned with finding the turn-on and turn-off angles needed to generate maximum torque per ampere (MTA). The strategy applies a particle swarm optimization (PSO) technique that searches for the angles that maximize the inductance of the SRM in order to achieve MTA. The inductance function was obtained via Finite Element Analysis (FEA) and experimentally. The method was applied to a 4-phase 8/6 SRM. The proposed strategy was found to be effective at both low speeds (beneath the base speed) and high speeds (above the base speed), but MTA could only be asserted for low speeds.
Identifier: FSU_migr_etd-8994 (IID)
Submitted Note: A Thesis submitted to the Department of Electrical and Computer Engineering Department in partial fulfillment of the requirements for the degree of Master of Science.
Degree Awarded: Summer Semester, 2014.
Date of Defense: July 17, 2014.
Keywords: Maximum Torque per Ampere, PSO, Switched Reluctance Machine
Bibliography Note: Includes bibliographical references.
Advisory Committee: Chris S. Edrington, Professor Directing Thesis; Petru Andrei, Committee Member; Pedro Moss, Committee Member.
Subject(s): Electrical engineering
Computer engineering
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_migr_etd-8994
Owner Institution: FSU

Choose the citation style.
Griffin, L. (2014). A Particle Swarm Optimization Based Maximum Torque Per Ampere Control for a Switched Reluctance Motor. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-8994