Title :
Adaptive NN tracking control of overactuated ocean surface vessels
Author :
Chen, Mou ; Ge, Shuzhi Sam ; Cui, Rongxin
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
In this paper, adaptive NN (neural network) tracking control is proposed for ocean surface vessels with parametric uncertainties, unknown disturbances and rotary actuators. Based on the Lyapunov synthesis method and backstepping technique, adaptive NN tracking control is developed by incorporating the actuator configuration matrix and considering actuator saturation constraints. In the proposed adaptive tracking control, the changeable actuator configuration matrix caused by rotary propulsion devices is explicitly considered. Finally, simulation studies are given to illustrate the effectiveness of the proposed adaptive NN tracking control.
Keywords :
Lyapunov methods; actuators; adaptive control; marine vehicles; neurocontrollers; propulsion; uncertain systems; Lyapunov synthesis method; actuator configuration matrix; actuator saturation constraints; adaptive neural network tracking control; backstepping technique; overactuated ocean surface vessel; parametric uncertainty; rotary actuator; rotary propulsion device; Actuators; Artificial neural networks; Propulsion; Sea surface; Trajectory; Ocean surface vessels; actuator saturation; adaptive tracking control; backstepping control; neural network;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554958