Modelling and control of the roll‐stabilised control unit of a rotary steerable system directional drilling tool

Alturbeh, Hamid; Whidborne, James F.; Luk, P.C.K.; Bayliss, Martin T.

doi:10.1049/joe.2018.8211

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…( 9), where η is greater than the maximum amplitude of random interference, so as to obtain Eq. (11).…”

Section: Research Methodology 31 Control Principlementioning

confidence: 99%

“…This control method is a PID double closed-loop control based on speed and rotor position. Although it can quickly track the tool face angle, when observing the control results, it will be found that the actual tool face angle of the mandrel swings on both sides of the preset tool face angle [11]. This will not only reduce the accuracy of directional operation, but also reduce the smoothness of shaft wall.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A Sliding Mode Control Based Stabilization Method for Directional Rotary Steering Tool-Face

2023

Teh. vjesn.

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When the directional rotary steering system works in the state of maintaining the tool face angle, the use of PID control mode will lead to a large swing angle of the tool face angle of the directional rotary steering system. In order to reduce the swing amplitude of the tool face angle, based on the PID position control and the angle position error sliding mode control strategy, the exponential synovial control function is established. The simulation results show that the fast and accurate tool face angle tracking is achieved through the closed-loop control of the angle position. The paper provides an implementation method for the research of directional rotary steering system.

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“…( 9), where η is greater than the maximum amplitude of random interference, so as to obtain Eq. (11).…”

Section: Research Methodology 31 Control Principlementioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Sliding Mode Control Based Stabilization Method for Directional Rotary Steering Tool-Face

2023

Teh. vjesn.

View full text Add to dashboard Cite

show abstract

“…As it is shown in Figure 1, the stabilized platform is mounted on bearings so that it is able to rotate independently relative to the drill collar, which spins with the bottom hole assembly (BHA) and drill string about a common longitudinal axis (Alturbeh et al, 2019; Wang et al, 2018).…”

Section: System Nonlinear Modelmentioning

confidence: 99%

Observer-based adaptive neural network control for stabilized platform in rotary steerable system with unknown input dead-zone

Wan

Huang

Wang

et al. 2022

Transactions of the Institute of Measurement and Control

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The core task of the stabilized platform in the rotary steerable system is to control the toolface angle, so that the trajectory of the whole bit can move forward to the set direction. Due to many downhole interference factors, the uncertainties of parameters related to internal friction and interference torque of stabilized platform always exist, which poses great challenges to model establishment and controller design. Moreover, the actuator dead-zone nonlinearity makes the control more complicated. Hence, a dynamic model of stabilized platform considering a variety of nonlinear factors is established, and an observer-based adaptive neural network (NN)-control law is proposed. An NN state observer is developed to cope with the uncertain states composed of unknown friction parametric uncertainties and unmodeled disturbances, the dead-zone inverse is constructed to compensate for a dead-zone, and the dynamic surface control (DSC) strategy is used to solve the “differential explosion,” all signals in the system are proved to be semi-global uniformly ultimately bounded (SGUUB) by the Lyapunov function. Finally, the MATLAB simulation is set up, and the accurate tracking effect of the system is proved by the simulation in the presence of friction, modeling error, and dead-zone nonlinearity. The validity and the superior performance of the proposed control method under the downhole harsh environment and parameter perturbation is verified by the comparison simulation experiments.

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Control strategy for Twin-turbine generator stabilized platform based on global linearization of DC-Bus voltage

Tian,

Geng,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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The stabilized platform is considered a crucial component for the toolface angle control of rotary steering tools. The twin-turbine generator stabilized platform (TGSP) control system aims to achieve stable voltage control of the turbine generator and servo control of the toolface angle. Existing methods, such as feedback linearization, have significant computational demands and are highly model-dependent, which limits their effectiveness under significant mud flow fluctuations. To address these shortcomings, this paper introduces a linear active disturbance rejection voltage controller (LADRC), using the square of the bus voltage as the state variable to achieve global linearization of the bus voltage. This method reduces dependence on precise mathematical models and enhances both robustness and efficiency. Simulation results demonstrate that the proposed method can achieve high-performance voltage control and servo control, providing a reference for the development of TGSP control systems.

show abstract

Modelling and control of the roll‐stabilised control unit of a rotary steerable system directional drilling tool

Cited by 6 publications

References 5 publications

A Sliding Mode Control Based Stabilization Method for Directional Rotary Steering Tool-Face

A Sliding Mode Control Based Stabilization Method for Directional Rotary Steering Tool-Face

Observer-based adaptive neural network control for stabilized platform in rotary steerable system with unknown input dead-zone

Control strategy for Twin-turbine generator stabilized platform based on global linearization of DC-Bus voltage

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