This paper presents an adaptive control approach that modifies a reference model in order to satisfy a multi-objective optimization of two performance signals: a linear signal and a quadratic signal. The time varying reference model modification is accomplished by the real-time solutions of the time-varying Riccati and Sylvester equations coupled with the least-squares parameter estimation of the sensitivities of the performance signals to be minimized. The effectiveness of the proposed method is to be demonstrated by a flight control application of maneuver load alleviation and drag minimization.


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    Title :

    Time-Varying Reference Model Modification of Adaptive Control with Multi-Objective Performance Optimization


    Contributors:
    Nhan Nguyen (author)

    Conference:

    AIAA SciTech Forum ; 2022 ; San Diego, CA, US


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English