Abstract A hybrid nonlinear controller for spacecraft attitude and rate tracking is presented though a combination of two control techniques. Based on the augmentation of spacecraft dynamics and kinematics, a pseudo-linear formulation is derived and used for the development of the basic controller. The basic controller follows a Modified State-Dependent Riccati Equation MSDRE scheme. A neuro-fuzzy controller is designed using an Adaptive Neuro-Fuzzy Inference System ANFIS utilizing the off-line solutions of the MSDRE. The combined control scheme is applied according to large time intervals of the MSDRE solutions to obtain the optimal control torques while along each time interval the ANFIS controller provides the required control signal. The global asymptotic stability of the MSDRE and MSDRE/ANFIS is investigated using Lyapunov theorem and verified by Monte Carlo simulations. The results show a considerable amount of reduction in the computational burden while the tracking accuracy is dependent on the size of the time interval to update the ANFIS controller.


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    Title :

    Spacecraft attitude control via a combined state-dependent Riccati equation and adaptive neuro-fuzzy approach


    Contributors:

    Published in:

    Publication date :

    2012-02-13


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English







    Optimized State-Dependent Riccati Equation Method for Spacecraft Attitude Estimation and Control

    Haim, L. / Choukroun, D. / Tekhniyon, Makhon tekhnologi le-Yisra'el | British Library Conference Proceedings | 2012


    Optimized State-Dependent Riccati Equation Method for Spacecraft Attitude Estimation and Control

    Haim, L. / Choukroun, D. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2012