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Author Jingyang Liu ♦ Allen, R. ♦ Hong Yi ♦ Yufang Zhang
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations
Subject Keyword Marine vehicles ♦ Programmable control ♦ Adaptive control ♦ Predictive models ♦ Predictive control ♦ Oceans ♦ Hydrodynamics ♦ Robustness ♦ Degradation ♦ Numerical simulation
Abstract When ships travel on the oceans, changes in the sea states and the sailing conditions will induce significant uncertain hydrodynamics, leading to a deterioration in the performance of traditional stabilization systems. To overcome this problem, a combination of Model Predictive Control (MPC) and an adaptive input disturbance predictor is proposed. This combination predicts the wave disturbance force by using a predictive model of the input disturbance and then compensating for the predicted disturbance within the MPC framework. This has the advantages of MPC and the adaptive model, and avoids the complicated robust tuning of a state observer which is commonly used within the MPC framework to reject output disturbances. Model Predictive Control is better than classical control at dealing with constraints, and the adaptive disturbance model enhances the ship adaptability when traveling in varying sea conditions. Very good predictions of the ship motion are obtained with less degradation under changes of sailing conditions, thus achieving very good closed loop performance in the MPC framework. An adaptive input disturbance predictor based on the time series Auto Regressive (AR) model is used in a numerical simulation which shows that this combination works very well.
Description Author affiliation: School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, 200240 China (Jingyang Liu; Hong Yi; Yufang Zhang) || Institute of Sound and Vibration Research, University of Southampton, SO17 1BJ, UK (Allen, R.)
ISBN 9781424451951
ISSN 19483457
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-06-09
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 109.50 kB
Page Count 4
Starting Page 2158
Ending Page 2161


Source: IEEE Xplore Digital Library