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.
Autopilot design for a robotic unmanned surface vehicle
2015 34th Chinese Control Conference (CCC) ; 6116-6120
2015-07-01
729579 byte
Conference paper
Electronic Resource
English
Autopilot Design for a Robotic Unmanned Surface Vehicle
TIBKAT | 2015
|Full range autopilot design for an unmanned underwater vehicle
British Library Conference Proceedings | 1997
|Adaptive Autopilot Design for Unmanned Airship
British Library Conference Proceedings | 2004
|