NDLI: A fuzzy model-based controller of an underwater robotic vehicle under the influence of thruster dynamics

Content Provider	IEEE Xplore Digital Library
Author	Wonchang Lee Geuntaek Kang
Copyright Year	1998
Description	Author affiliation: Dept. of Electron. Eng., Pukyong Nat. Univ., Pusan, South Korea (Wonchang Lee)
Abstract	Underwater robotic vehicles (URVs) have become an important tool for various underwater tasks because they have greater speed, endurance, depth capability, and safety than human divers. Many URVs powered by electric rotors driving propellers. The thruster system is known to be nonlinear and time-varying. The system dynamics of URVs can be greatly influenced by the thruster of dynamics at low speed or station keeping. Good control of a vehicle at low speed is also an important design problem which must be solved to permit important operations like automatic docking and combined vehicle-manipulator control. The conventional linear controller based on the simplified vehicle dynamics may not be able to handle these properties and result in poor performance. This paper describes a fuzzy model-based controller of an underwater robotic vehicle with the influence of the thruster dynamics. The fuzzy controller presented in this paper is based on a Tagaki-Sugeno-Kang (TSK) fuzzy model and guarantees the stability of overall fuzzy control system. Its superiority to the conventional linear controller is investigated by computer simulation.
Starting Page	750
Ending Page	755
File Size	403632
Page Count	6
File Format	PDF
ISBN	078034300X
ISSN	10504729
DOI	10.1109/ROBOT.1998.677064
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-20
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Robots Underwater vehicles Automatic control Vehicle dynamics Vehicle safety Nonlinear dynamical systems Fuzzy systems Power system modeling Humans
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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