Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2010.5524273
Title: A type-2 fuzzy logic controller for dynamic positioning systems
Authors: Chen, X.T.
Tan, W.W. 
Issue Date: 2010
Source: Chen, X.T.,Tan, W.W. (2010). A type-2 fuzzy logic controller for dynamic positioning systems. 2010 8th IEEE International Conference on Control and Automation, ICCA 2010 : 1013-1018. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2010.5524273
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. © 2010 IEEE.
Source Title: 2010 8th IEEE International Conference on Control and Automation, ICCA 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/69116
ISBN: 9781424451951
DOI: 10.1109/ICCA.2010.5524273
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