Observer‐based trajectory control for directional drilling process

Cai, Zhen; Lai, Xuzhi; Wu, Min; Chen, Luefeng; Lu, Chengda

doi:10.1002/asjc.2456

Cited by 13 publications

(2 citation statements)

References 31 publications

(35 reference statements)

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“…This can be also encountered in intelligent robots [1][2][3]. There have been plenty of works proposing observer-based control [4][5][6], adaptive control [7][8][9], and fuzzy control [10] for the output regulation and disturbances rejection, most of which is however sensitive to the locations of the disturbances and references. Complex system controls also include the learning control [11][12][13] and network based controls [14,15].…”

Section: Introductionmentioning

confidence: 99%

Robust output regulation of a non‐uniform Euler‐Bernoulli beam

Meng

Huang

et al. 2023

Asian Journal of Control

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For an Euler‐Bernoulli beam with variable coefficients, all the disturbances and references are supposed to be from an exosystem. Two observer‐based controls are proposed to regulate two non‐collocated outputs to track prescribed references. First, we construct an uncertain disturbance‐free beam system, which is determined by the inputs, measurable outputs, and unknown initial conditions. New exosystems are then defined to address the undetectability of the original exosystem and the uncertainties of input disturbances. We then propose two observer‐based controls through an extended observer for the disturbance‐free beam and the new exosystems. For the closed‐loop system, the tracking errors are proved to be exponentially regulated toward zero. A simulation example is provided to describe the theoretical result.

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Section: Introductionmentioning

confidence: 99%

Robust output regulation of a non‐uniform Euler‐Bernoulli beam

Meng

Huang

et al. 2023

Asian Journal of Control

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“…During the drilling process, the navigation and positioning of the drill bit position are the keys to achieving accurate dynamic measurement of the drilling tool posture [1,2]. Horizontal wells and directional drilling technology have been widely used in the oil and gas industry.…”

Section: Introductionmentioning

confidence: 99%

A drilling combination positioning method based on geomagnetic/inertial navigation combined with PSD improved unscented Kalman filtering algorithm*

Yang,

Qin,

Wei

et al. 2023

Meas. Sci. Technol.

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During the drilling process, the accuracy of measuring drilling tool attitude is severely affected by measurement drift errors in the inertial device itself and the significant interference noise generated by the impact vibration of the drill bit. To address these issues and achieve precise measurement of drilling trajectory, this paper proposes a combined positioning method based on geomagnetism/inertial navigation combined with PSD improved unscented Kalman filtering. An experimental platform was constructed, and a sensor system was installed in the vicinity of the drill bit for short section measurements. Experimental verification was conducted using actual drilling data. The results demonstrate that, compared to general unscented Kalman filtering, the average position error using PSD improved unscented Kalman filtering was reduced from 0.122 m to 0.088 m, and the average velocity error was reduced from 0.019 m s−1 to 0.005 m s−1. By comparing and matching with the drilling trajectory drawn in the logging process, the overall positioning accuracy of the combined positioning method is as high as 90.8%, yielding positioning results that are highly authentic and effective, thereby meeting the on-site usage requirements.

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