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A novel adaptive fuzzy PID controller based on piecewise PID controller for dynamic positioning of sandglass-type FDPSO

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Indexed by:Journal Papers

Date of Publication:2019-09-01

Journal:JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

Included Journals:SCIE

Volume:24

Issue:3

Page Number:720-737

ISSN No.:0948-4280

Key Words:Sandglass-type FDPSO; Dynamic positioning; Adaptive fuzzy PID control; Piecewise control; Stability; Thruster model

Abstract:A novel adaptive fuzzy proportional-integral-derivative (PID) controller based on the proposed piecewise PID controller is put forward for the sandglass-type floating, drilling, production, storage and offloading unit (FDPSO). First, on the premise of appropriate positioning accuracy, a piecewise linear PID controller considering the directional characteristic between the motions and environmental loads is proposed to conserve energy of traditional linear PID controller. Then, to improve the stability during the transient process and alleviate oscillation induced by piecewise PID controller, the robust adaptive fuzzy PID controller based on the piecewise PID controller is put forward, whose stability is verified by fuzzy Lyapunov method. The proposed fuzzy output variables are designed including motions in both the horizontal and vertical planes to solve the surge-pitch coupling problem and optimize energy consumption. The time-domain simulations with a complete model of all DP components and external forces are carried out. Therein, the thruster model is improved by introducing a virtual thrust command to decrease the obvious phase lag, response delay and amplitude reduction of the traditional thruster model. In addition, the application of wave filter is discussed, especially when the wave-frequency (WF) motions are more prominent and significant than low-frequency (LF) motions. Finally, comparisons between the proposed adaptive fuzzy PID controller and traditional linear PID controller are made and analyzed. Good control effects of the proposed controllers are demonstrated with the assistance of numerical simulations with a series of control parameters.

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