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Real-Time Hardware-in-the-Loop Emulation of Electric Machines for Electrified Transportation Systems

  • Author / Creator
    Jandaghi, Behzad
  • Design and prototyping of electric power components and systems employing off-line transient simulation tools are inefficient due to, first, time consumption of sequential processors for several cycles of testing, and second, inaccuracy
    arising from simplifications in the modeling of the entire system. Hardware-in-the-loop (HIL) emulation can massively accelerate the design procedure and provide a highly accurate testing platform for the manufactured prototype devices to interact with the rest of the system model on a simulator in a
    nondestructive environment before commissioning. The scenario is efficient when the emulated system computations can be executed in real-time with a specified time-step which is small enough to model all the transients of the system. Field programmable gate array (FPGA) proposes an attractive
    platform for real-time simulation due to reconfigurability, widely paralleled, deeply pipelined architecture and low input/output latencies. As a key component of the power systems with a wide variety of applications, testing of electric machines in the design and control procedure for the purposes of energy efficiency and performance improvement is becoming increasingly demanding. The complex structure of electric machines makes real-time simulation challenging mainly due to mechanical movement and magnetic nonlinearity.
    This thesis addresses challenges and solutions for real-time HIL emulation of electric machines. Comprehensively, all three widely used electric machine models including q-d vector model, magnetic equivalent circuit, and finite element method models are investigated for real-time simulation of low power
    rotary induction motor and high power linear induction motor for magnetic levitation application. An evaluation in terms of real-time step-size and accuracy as well as FPGA hardware resource utilization corresponding to each model is provided. The validation of results with off-line transient simulation
    and finite element tools and experimental measurements demonstrates the accuracy and efficiency of the proposed approaches.

  • Subjects / Keywords
  • Graduation date
    Fall 2018
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/R3CF9JP2Q
  • License
    Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.