DocumentCode
3218748
Title
A type-2 fuzzy logic controller for dynamic positioning systems
Author
Chen, Xue Tao ; Tan, Woei Wan
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2010
fDate
9-11 June 2010
Firstpage
1013
Lastpage
1018
Abstract
This paper presents an approach to design type- 2 fuzzy logic controllers (FLCs) for dynamic positioning (DP) systems, and the design process can be easily extended to other multi-input multi-output (MIMO) systems with coupling between loops. The combination of FLCs and nonlinear observers removes the need to linearize the kinematic equations of motion when designing control systems for the DP systems. Simulations with a supply vessel demonstrate the performance of the proposed controller. Comparisons show that the type-2 FLC outperform the linear quadratic regulator (LQR) controller and is more robust. In the face of disturbances, the type-2 FLC has better disturbance rejection property than its type-1 counterpart.
Keywords
MIMO systems; control system synthesis; fuzzy control; linear quadratic control; motion control; observers; position control; robust control; DP system; FLC combination; designing control system; dynamic positioning system; kinematic equation; linear quadratic regulator controller; loop coupling; motion equation; multiple input multiple output system; nonlinear observer; type-2 fuzzy logic controller; Control systems; Fuzzy logic; Kinematics; MIMO; Motion control; Nonlinear control systems; Nonlinear equations; Process design; Regulators; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location
Xiamen
ISSN
1948-3449
Print_ISBN
978-1-4244-5195-1
Electronic_ISBN
1948-3449
Type
conf
DOI
10.1109/ICCA.2010.5524273
Filename
5524273
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