Study on the Reconfigurable Control Method for the Fault-Tolerant of the Dynamic Point-the-Bit Rotary Steerable System

Wang, Weiliang; Geng, Yanfeng; Yang, Yisen; Wang, Ning

doi:10.1007/978-981-15-2485-1_110

Cited by 3 publications

(2 citation statements)

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“…parameter uncertainties and neglected dynamics), measurement disturbances, and unknown inputs with large amplitude. Recently, some results on the sensor FD for the DPRSS have been presented in [24,25]. However, the FD problem for DPRSS with drilling disturbances has not been comprehensively studied to date.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with the result in [25], a more comprehensive DPRSS model with faults is considered. Furthermore, the redundancy hardware, which is essential in [9,24], is not required for the proposed method. (ii) Considering the effects of model perturbations, measurement disturbances, and unknown inputs, a finite frequency range H − ∕H ∞ UIO is proposed to generate residuals.…”

Section: Introductionmentioning

confidence: 99%

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Sensor fault detection for dynamic point‐the‐bit rotary steerable system via finite‐frequency domain observer and zonotope residual evaluation

Wang

Geng

Cheng

et al. 2022

IET Control Theory & Appl

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In this paper, the sensor fault detection (FD) problem is investigated for the dynamic pointthe-bit rotary steerable system (DPRSS), which is known as state-of-the-art oil drilling equipment. Firstly, the DPRSS dynamic is modelled as a linear system with drilling disturbances, which consists of model perturbations, measurement disturbances, and unknown inputs. Secondly, the finite-frequency H − ∕H ∞ unknown input observer is proposed to generate the residual, which is sensitive to sensor faults and robust against drilling disturbances. Subsequently, considering model perturbations and measurement disturbances, the zonotope-based residual evaluation method is presented, and the FD decision-making logic is designed based on the calculated residual bounds. Finally, numerical simulations and prototype experiments are provided to illustrate the effectiveness of the proposed sensor FD mechanism.

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Section: Introductionmentioning

confidence: 99%