This paper reports an autopilot design for a robotic unmanned surface vehicle in the control laboratory at DMU. A robust adaptive steering law is developed with the aid of a predictor, a tracking differentiator, neural networks, and a dynamic surface control technique. The developed controller is able to achieve satisfactory performance in the presence of model uncertainties, time-varying ocean disturbances, and measurement noises. Simulation results demonstrate the efficacy of the proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Autopilot design for a robotic unmanned surface vehicle


    Contributors:
    Peng, Zhouhua (author) / Tian, Yong (author) / Wang, Dan (author) / Liu, Lu (author)


    Publication date :

    2015-07-01


    Size :

    729579 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Autopilot Design for a Robotic Unmanned Surface Vehicle

    Peng, Zhouhua / Tian, Yong / Wang, Dan et al. | TIBKAT | 2015


    Autopilot Design for Unmanned Surface Vehicle based on CNN and ACO

    Zhao, Dongming / Yang, Tiantian / Ou, Wen et al. | BASE | 2018

    Free access

    Full range autopilot design for an unmanned underwater vehicle

    Cowling, D. / International Federation of Automatic Control | British Library Conference Proceedings | 1997


    Adaptive Autopilot Design for Unmanned Airship

    Kim, B. M. / Kim, B. S. / Nanjing hang kong hang tian da xue | British Library Conference Proceedings | 2004