This paper describes the attitude control technology for unmanned airships, and presents a structure of attitude control system including feedback of angular position and feedback of angular rate. Then, attitude estimation algorithm based on MIMU and Kalman filter is focused on. In order to improve attitude information performance, an adaptive Kalman filter is designed on the basis of Radial Basis Function Neural Networks (RBFNN), which adjusting filter gain matrix and observation noise matrix on-line. Thus, the accuracy of attitude control for unmanned airships is ensured. Finally, ground and flight test results verify the validity of the algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Attitude Control System Research of Unmanned Airship


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Lu, Wei (editor) / Cai, Guoqiang (editor) / Liu, Weibin (editor) / Xing, Weiwei (editor) / Tian, Bo (author) / Wang, Song (author) / Guo, Wang (author) / Li, Juan (author)


    Publication date :

    2012-11-06


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Unmanned airship

    DU HUIXIANG | European Patent Office | 2020

    Free access

    Unmanned airship

    LUO DELI | European Patent Office | 2024

    Free access

    Unmanned Surveillance Airship

    Lindstrand, Per | AIAA | 2009


    Simulation of Unmanned Airship Control

    Zhiqiang, B. / Airship Association | British Library Conference Proceedings | 2008