Date of Award
Thesis - Restricted
Master of Science (MS)
Electrical and Computer Engineering
An integrated Particle Swarm Optimization, PSO, Fuzzy Logic, FL, model is developed to solve the design optimization problem of Axially Laminated Anisotropic, ALA, rotor, Synchronous Reluctance Machine, SynRM. The main objective of the optimization is to minimize the torque ripple as well as the Ohmic and core losses in the machine at a constant developed torque average for traction applications. The number of flux paths, stator tooth width, and rotor flux path width define the 3-Dimensional search space for the optimization problem. A coupled Finite Element-State Space model is developed for the ''robust" characterization of the machine and is used to setup the knowledge database for the "off-line" training of the Artificial Intelligence, AI, based identifier. The AI-based design optimization environment uses an FL model for the "online and robust" identification of the performance characteristics of the SynRM. PSO is used to tackle the design optimization problem of the machine in consideration. It is incorporated with the FL model to solve for an optimal design of a prototype ALA rotor SynRM.
ElBsat, Mohammad N., "Particle Swarm Design Optimization of ALA Rotor SynRM for Traction Applications" (2008). Master's Theses (1922-2009) Access restricted to Marquette Campus. 4547.