Population based design of permanent magnet synchronous machine drive systems
Abstract
This dissertation sets forth a comprehensive population based multi-objective design optimization algorithm for a permanent-magnet synchronous machine (PMSM) drive. Advancements set forth in this work include salient permanent-magnet machine modeling, inverter semiconductor switching and conduction loss modeling, and dc link modeling. The algorithm uses an embedded time domain simulation to accurately predict the losses and current ripple. A design study is presented to demonstrate the use of the algorithm described herein.
Degree
Ph.D.
Advisors
Sudhoff, Purdue University.
Subject Area
Electrical engineering
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