Adaptive control for the magnetic suspension of an energy storage flywheel Conference Paper uri icon

abstract

  • Fault-tolerant control enables continued operation even with failures of actuators, sensors, and plant components. Normally the operation of fault-tolerant control depends on highly reliable fault detection and identification to detect faults by a signal- or model-based approach. In this paper two adaptive control schemes are utilized to compensate for actuator (power amplifier) failures in a magnetic suspension system. The gain scheduling adaptive control is combined with the signal-based fault detection which identifies the failure combinations of power amplifiers. The adaptive pole placement control is the model-based fault detection (estimator). The adaptive law which estimates the jump parameters caused by the failures of power amplifiers is derived by Lyapunov approach. The reduced-order adaptive law is developed to reduce the number of persistently exciting signals. The simulation results of a magnetic suspension system show that the system can continuously operate when some of the power amplifiers in a magnetic bearing fail. Thus the reliability of a magnetic bearing is improved by these two adaptive control schemes. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

author list (cited authors)

  • Li, M. H., Palazzolo, A., & Provenza, A. J.

publication date

  • December 2005