NDLI: Ship roll stabilization using supervision control based on inverse model wavelet neural network

Content Provider	IEEE Xplore Digital Library
Author	Hui Li Chen Guo Xiaofang Li
Copyright Year	2010
Description	Author affiliation: Computer Faculty, Dalian Electronic School, 116026, China (Xiaofang Li) \|\| Information Science Technology College, Dalian Maritime University, 116026, China (Hui Li; Chen Guo)
Abstract	An intelligent supervision control for ship roll motion stabilization is presented in this paper. The control system consists of a linear PID controller based on ship fin stabilizer three parameters, an inverse model wavelet neural network (IMWNN) controller and a wavelet neural network identification (WNNI). The linear PID controller is adopted to carry out feedback control. The WNNI is used to learn the dynamics characteristics of the nonlinear system, and obtain a fast dynamics internal model. The IMWNN controller is employed to implement intelligent supervision control, and obtain the inverse dynamics model of the process. In simulation, the roll mode input-output signals to train the wavelet neural network off-line are obtained by introducing PRBS sequence. The simulation results illustrate the efficiency of the proposed method, and prove that the intelligent supervision control can make sure the stability and robustness of control system and effectively improve the system adaptive ability. This method can also be used in other complexity, non-linearity system control.
Starting Page	4829
Ending Page	4833
File Size	514096
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554721
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Marine vehicles Control systems Artificial neural networks Nonlinear dynamical systems Adaptation model Inverse problems Adaptive systems Fin stabilizer Supervision control Inverse model wavelet neural network PRBS sequence
Content Type	Text
Resource Type	Article

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