Abstract
In order to solve the problem of large course control error of underactuated unmanned surface vehicle (USV), a controller is designed based on sliding mode control algorithm, and the sliding mode surface is optimized by combining fuzzy control algorithm to accelerate error convergence speed and reduce steady-state error. Finally, based on the “Jinghai 8-a” small unmanned measurement vehicle of Shanghai University, the simulation verifies the stability of the USV in course keeping control and its robustness to external disturbances.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
