Control Design for Directional Down-Hole Drilling Using Dual-Heuristic Programming With a High-Order Dynamic Model

Ke, Chong; Song, Xingyong

doi:10.1109/tcst.2021.3094537

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Theorem 1. Consider the stabilized platform modeled by Equation (18), if the controller is designed as Equation (41), the tracking error and the NDO error go asymptotically to zero.…”

Section: Stability Analysismentioning

confidence: 99%

“…Weng et al 17 developed an integral sliding mode control (SMC) to maintain stable control of the rotary drilling system under varying disturbance conditions. Ke and Song 18 used neural networks to approximate the gradient of the cost function for optimal control input and constructed a controller based on single‐neuron adaptive critic dual‐heuristic programming method, eliminating vibrations in axial dimensions and torsional dimensions, and improving system stability. Tian and Song 19 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Backstepping sliding mode control of stabilized platform for fully rotary steerable drilling system based on nonlinear disturbance observer

Li,

Wang,

Wang

et al. 2024

Energy Science & Engineering

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To handle the disturbances and uncertainties issue in the control of the stabilized platform toolface angle, a composite control approach based on a backstepping sliding mode control (BSMC) method with a nonlinear disturbance observer (NDO) is proposed. First, a nonlinear mathematical model of the stabilized platform is established, and the NDO is employed to observe and compensate for the external disturbance. Then, the BSMC control approach based on the nonlinear mathematical model is designed to improve the robustness of the stabilized platform control system. The asymptotic stability of the designed controller and NDO convergence are mathematically verified using the Lyapunov theory. Furthermore, to address the dead zone torque caused by mechanical friction on the stabilized platform, which could lead to instability in the toolface angle, a novel dead zone torque estimation algorithm is presented. Finally, in comparison with other advanced control methods, simulation results show the superiority and robustness of the proposed scheme under complex disturbances from the downhole environment. And drilling simulation experiment results are provided to validate the robustness and adaptivity of the proposed method.

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“…Theorem 1. Consider the stabilized platform modeled by Equation (18), if the controller is designed as Equation (41), the tracking error and the NDO error go asymptotically to zero.…”

Section: Stability Analysismentioning

confidence: 99%