Damage Analysis of Internal Faults in Flux Concentrating Permanent Magnet Motors

Abstract

It is the purpose of the proposed research to develop a digital computer simulation model to study the effects of an internal fault in a large permanent magnet ac synchronous motor. Permanent magnet motors are being considered as an alternative for ships with electric propulsion systems. In an electric propulsion system a large motor will be directly connected to a propulsion shaft. A windmilling shaft will continue to turn the rotor of the propulsion motor after the motor has been disconnected from its electrical power supply source. Following an internal electrical fault in a propulsion motor, it is expected that the motor will be disconnected from its electrical supply source. With the ship operation at or near rated speed following a casualty to the propulsion plant, the ship will coast down to a stop or until the crew takes action to stop the ship. A windmilling permanent magnet motor will generate a large enough internal voltage to continue to support large fault currents. This research will focus on the fault transient and the motor behavior during the time that the propulsion shaft is windmilling. Shorting the motor terminals will be considered as a means of reducing the power input into the fault.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA283883

Entities

People

  • Francis R. Colberg

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Gaps
  • Birds
  • Computer Science
  • Computers
  • Electric Propulsion
  • Electrical Engineering
  • Energy
  • Engineering
  • Engineers
  • Flux Density
  • Geometry
  • Heat Transfer
  • Magnetic Flux
  • Magnetic Flux Density
  • Object Oriented Programming
  • Permanent Magnets
  • Propulsion Systems

Fields of Study

  • Physics

Readers

  • Electrical Engineering
  • Military Science
  • Parallel and Distributed Computing.