Quadrotor helicopter is an increasingly popular rotorcraft platform for unmanned aerial vehicle (UAV) study. Development of a mathematical model with accurate model parameters for quadrotor is extremely beneficial to control the system. But accurate measurement of numerous vehicle parameters would be especially challenging. In this paper, a system identification method for the quadrotor model parameter identification based on genetic algorithm is proposed. Using the real flight input and output information, the genetic algorithm can identify the model parameters. And the results show that the identified parameters with genetic algorithm have an acceptable accuracy.


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    Title :

    System identification of quadrotor UAV based on genetic algorithm


    Contributors:
    Yang, Jinpeng (author) / Cai, Zhihao (author) / Lin, Qing (author) / Zhang, Dongyao (author) / Wang, Yingxun (author)


    Publication date :

    2014-08-01


    Size :

    170378 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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