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Proceedings Paper

Design of adaptive reconfigurable control systems using extended-Kalman-filter-based system identification and eigenstructure assignments
Author(s): Xudong Wang; Vassilis L. Syrmos
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Paper Abstract

In this paper, an adaptive reconfigurable control system based on extended Kalman filter approach and eigenstructure assignments is proposed. System identification is carried out using an extended Kalman filter (EKF) approach. An eigenstructure assignment (EA) technique is applied for reconfigurable feedback control law design to recover the system dynamic performance. The reconfigurable feedforward controllers are designed to achieve the steady-state tracking using input weighting approach. The proposed scheme can identify not only actuator and sensor variations, but also changes in the system structures using the extended Kalman filtering method. The overall design is robust with respect to uncertainties in the state-space matrices of the reconfigured system. To illustrate the effectiveness of the proposed reconfigurable control system design technique, an aircraft longitudinal vertical takeoff and landing (VTOL) control system is used to demonstrate the reconfiguration procedure.

Paper Details

Date Published: 26 July 2004
PDF: 12 pages
Proc. SPIE 5383, Smart Structures and Materials 2004: Modeling, Signal Processing, and Control, (26 July 2004); doi: 10.1117/12.538110
Show Author Affiliations
Xudong Wang, Univ. of Hawaii/Manoa (United States)
Vassilis L. Syrmos, Univ. of Hawaii/Manoa (United States)

Published in SPIE Proceedings Vol. 5383:
Smart Structures and Materials 2004: Modeling, Signal Processing, and Control
Ralph C. Smith, Editor(s)

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