Generalized predictive control for fin stabilizer at zero speed based on T-S model

The output and input nonlinear of fin stabilizer at zero-speed with its uncertainty has led to complicated control structure and undesirable stabilizing effect. The drag-based force mechanism different from lift-based fin result in PID controller well done in high speed can't applied directly i...

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Bibliographic Details
Main Authors: Song, Jiguang, Jing, Hongzhang, Ji, Ming, Shi, Hongyu
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Equations
Fin Stabilizer
Force
GPC
Marine vehicles
Mathematical model
Predictive control
Predictive models
T-S Fuzzy Model
Zero Speed
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Summary:The output and input nonlinear of fin stabilizer at zero-speed with its uncertainty has led to complicated control structure and undesirable stabilizing effect. The drag-based force mechanism different from lift-based fin result in PID controller well done in high speed can't applied directly in zero speed fin stabilizer. A separating strategy was introduced in his paper to simplify the system structure and separate the input and output nonlinear of roll motion equation. Then a two step master slave controller based on T-S fuzzy model is used to control the zero-speed fin. Simulation results show: the master control based on GPC can improve the stabilizing effect at different periods of sea wave interference and have self-adaptability with the ship roll motion model.
ISSN:1934-1768
DOI:10.1109/ChiCC.2014.6896290