Effects of nonlinear friction of passive heave compensator on drilling operation — Part I: Modeling and analysis

Sánchez, William Humberto Cuéllar; Neto, André Benine; Fortaleza, Eugênio

doi:10.1016/j.oceaneng.2020.107743

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…g. To solve the time-delay problem in AHC controlled equation (29), a prediction algorithm is introduced. Section 2.2 proves that the time series of ship heave motion has chaotic characteristics, so a chaotic prediction algorithm can be used to predict ship heave motion.…”

Section: Esign Of Rov Attitude Stability Control Based On Etmmentioning

confidence: 99%

“…The installation of a lifting compensation system can also reduce stress changes inside the umbilical cable and prevent it from fraying [28];A high-precision sinking compensation system can allow the ROV to work normally under complex sea conditions, shorten the construction period, and improve work efficiency. Engineers have spent a significant amount of time designing the passive lifting compensation system (PHC) [29,30], the active lifting compensation device (AHC) [25,31,32], and the active-passive joint lifting compensation system (APHC) [33,34]. Because of its current nonlinear control and sensor technology, the active sinking compensation system has the most effective compensation effect [35].The mother ship sinking motion prediction technology is added to the active sink compensation system to improve compensation accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Control optimization of ROV attitude stabilization system based on ETM

Jiang

Juan

Jin

et al. 2022

Preprint

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This study develops an event-triggered controller for the ROV attitude system. First, the dynamic modeling of ROV attitude control is performed. The three-dimensional dynamic equation for ROV attitude control is obtained by decoupling each degree of freedom, and the model for the ROV attitude stability control system is obtained by taking into account the influence of ROV hydrodynamics, ship movement, and umbilical cable vortex-induced vibration. The ROV attitude stability control controller is designed by using backstepping control and sliding mode control, the event trigger mechanism is added to optimize its control output, and the Volterra adaptive multi-step prediction algorithm is designed to predict the ship sinking time series in advance, and the condition parameters are provided for the event trigger mechanism in the AHC controller to improve the positioning accuracy of the attitude stability axial subsystem (AHC). The simulation findings demonstrate that the control strategy and prediction algorithm developed in this study can accomplish the control task and have a strong anti-interference ability by establishing varying degrees of sea conditions and advanced forecast time for simulation tests. Additionally, the event trigger mechanism optimizes the control law, better utilizes the output control signal's channel, and prevents the control output from acting improperly, all of which can reduce network bandwidth use.

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Section: Esign Of Rov Attitude Stability Control Based On Etmmentioning

confidence: 99%