Title :
Design of the parameter-adjusting human simulated intelligent controller for water-jet-propelled unmanned surface vehicle
Author :
Gong-xing Wu ; Dan-da Shi ; Yu-lei Liao
Author_Institution :
Coll. of Ocean Sci. & Eng., Shanghai Maritime Univ., Shanghai, China
Abstract :
To solve the problems of uncertainty of ship model and the time-variable of ocean environment, this paper presents a parameter-adjusting control method for the water-jet-propelled Unmanned Surface Vehicle (USV) based on human simulated intelligent control. Firstly, the advantage of human motion control method was analyzed by the concept of bionics. Then according to the method of manufacturing system, the human simulated intelligent controller was designed by the way of planning the ideal error phase track, establishing the feature model and ratiocinating the control rule. And the design process was particularly analyzed, which include the running-level, the parameter-adjusting level and mission adapting level. Finally, the simulations of the running-level and parameter-adjusting level control for the USV directional control were carried out. The simulation result showed that the USV could keep direction and change direction in need. And the excellent adaptability and robustness of the human-simulated intelligent controller was verified by the sea trial navigation test.
Keywords :
control system synthesis; intelligent robots; marine navigation; mobile robots; motion control; propellers; robust control; ships; USV directional control; bionics; control rule; controller design; error phase track; human motion control; mission adapting level; ocean environment; parameter-adjusting control method; parameter-adjusting human simulated intelligent controller; parameter-adjusting level; robustness; running-level; sea trial navigation test; ship model uncertainty; water-jet-propelled unmanned surface vehicle; Adaptation models; Intelligent control; Level control; Mathematical model; Process control; Trajectory; Human-simulated intelligent; USV; parameter-adjusting; uncertainty model;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161770