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.


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    Titel :

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


    Beteiligte:

    Kongress:

    Smart Structures and Materials 2004: Modeling, Signal Processing, and Control ; 2004 ; San Diego,CA,United States


    Erschienen in:

    Proc. SPIE ; 5383 ; 539


    Erscheinungsdatum :

    26.07.2004





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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