A new method based on the theory of set-membership estimation for time-domain identification of helicopter flight dynamics model has been developed. The parameters in most helicopter flight dynamics models are generally coupled, and it is difficult to obtain an explicit-function relationship between an identification model and the parameters to be identified. An indirect-identification algorithm should be established. The concept of generalized noise is introduced to solve the problems using the set-membership-identification method to construct a helicopter flight dynamics model. The identification of a six-degree-of-freedom linear flight dynamics model of the BO-105 helicopter in hover condition based on the new method is implemented. A comparative study of the new method with the maximum-likelihood method is also performed. The obtained results show that the new method increases the identification accuracy, efficiency, and robustness to noise by comparison with a conventional statistic-based identification method.


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    Title :

    Set-Membership Identification Method for Helicopter Flight Dynamics Modeling


    Contributors:
    Wei, Wu (author) / Renliang, Chen (author)

    Published in:

    Journal of Aircraft ; 52 , 2 ; 553-560


    Publication date :

    2014-09-12


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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