DocumentCode :
3587064
Title :
Adaptive control of unmanned surface vessels matching an optimized reference model
Author :
Chenguang Yang ; Rongxin Cui ; Zhijun Li ; Sharma, Sanjay ; Xingang Zhao
Author_Institution :
MOE Key Lab. of Autonomous Syst. & Network Control, South China Univ. of Technol., Guangzhou, China
fYear :
2014
Firstpage :
2232
Lastpage :
2237
Abstract :
In this paper, adaptive control of unmanned marine surface vessel has been investigated in the presence of uncertain dynamics as well as external disturbance. Variable structure technique has been utilized in the control design to make the dynamic response and desired motion tracking as quickly as possible. In practice, usually the desired trajectories are given as step points, such that direct immediate tracking would cause large acceleration and huge control effort, while the latter may be out of the actuators´ limitation. Therefore, a reference model approach is employed, such that instead of direct tracking of the desired set point, the control objective becomes to shape the closed-loop dynamics to match a reference model. The reference model is built using optimization technique which tries to minimizes both tracking error and motion acceleration, and subsequently control effort. The smooth tracking is thus guaranteed in an optimal manner.
Keywords :
adaptive control; closed loop systems; control system synthesis; dynamic response; marine vehicles; remotely operated vehicles; uncertain systems; variable structure systems; adaptive control; closed-loop dynamics; control design; dynamic response; external disturbance; motion acceleration; motion tracking; optimization technique; optimized reference model; reference model approach; smooth tracking; tracking error; uncertain dynamics; unmanned marine surface vessel; variable structure technique; Acceleration; Adaptation models; Dynamics; Mathematical model; Performance analysis; Tracking; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBIO.2014.7090669
Filename :
7090669
Link To Document :
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