Brushless machine monitoring and simulation

Author

Haskew, Tim A. ; Schinstock, Dale E. ; Bredeson, Jon G. ; Salem, Thomas E.

Author_Institution

Coll. of Eng., Alabama Univ., Tuscaloosa, AL, USA

Volume

1

fYear

1996

fDate

11-16 Aug 1996

Firstpage

203

Abstract

In high-power applications, typically serviced by hydraulic devices, electromechanical actuators promise improved reliability, performance, controllability, and efficiency. Brushless machine technology is ideally suited for EMA applications. In this paper, a simulation model for the brushless machine is developed and validated. A general framework for health monitoring of brushless machines is presented and evaluated. The health monitoring framework is based on the adaptive Kalman filter and employs the simulation model. Laboratory validation is provided, and critical issues for further development are presented

Keywords

Kalman filters; adaptive filters; brushless machines; electric actuators; monitoring; simulation; adaptive Kalman filter; brushless machine monitoring; brushless machine simulation; controllability improvement; efficiency improvement; electromechanical actuators; hydraulic devices; performance improvement; reliability improvement; simulation model; Actuators; Brushless machines; Brushless motors; Condition monitoring; Controllability; Laboratories; Maintenance; Permanent magnet motors; Redundancy; Space vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Conversion Engineering Conference, 1996. IECEC 96., Proceedings of the 31st Intersociety

Conference_Location

Washington, DC

ISSN

1089-3547

Print_ISBN

0-7803-3547-3

Type

conf

DOI

10.1109/IECEC.1996.552871

Filename

552871