Design of adaptive reconfigurable control systems using extended-Kalman-filter-based system identification and eigenstructure assignments

Xudong Wang; Vassilis L. Syrmos

doi:10.1117/12.538110

26 July 2004 Design of adaptive reconfigurable control systems using extended-Kalman-filter-based system identification and eigenstructure assignments

Xudong Wang, Vassilis L. Syrmos

Author Affiliations +

Proceedings Volume 5383, Smart Structures and Materials 2004: Modeling, Signal Processing, and Control; (2004) https://doi.org/10.1117/12.538110
Event: Smart Structures and Materials, 2004, San Diego, CA, United States

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.

Citation Download Citation

Xudong Wang and Vassilis L. Syrmos "Design of adaptive reconfigurable control systems using extended-Kalman-filter-based system identification and eigenstructure assignments", Proc. SPIE 5383, Smart Structures and Materials 2004: Modeling, Signal Processing, and Control, (26 July 2004); https://doi.org/10.1117/12.538110

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