In order to achieve accurate control of unmanned quad rotor air vehicle, the system model is in need. In this paper, the system model was built under the condition of the small angle hypothesis. Then, we combined the subspace state space system identification method and prediction error method (PEM) to the system identification of quad rotor air vehicle. By simulation, the flight dynamics model of unmanned quad rotor air vehicle example was successfully identified. The results showed that the proposed method had the advantage of both subspace state space system identification method and PEM, and it was always convergent and numerically stable.


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    Title :

    System modeling and identification of unmanned quad rotor air vehicle based on subspace and PEM


    Contributors:
    Yi, Liu (author)


    Publication date :

    2016-10-28


    Size :

    334157 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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