Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling

doi:10.1007/s12555-020-0923-6

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	Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling
	Zhang, Chi 2,3; Zou, Wei 2,3; Cheng, Ningbo 2,3; Gao, Junshan 1
刊名	INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
	2022
卷号	20 期号:1 页码:334-348
关键词	Fault-tolerant control (FTC) integral sliding mode control (ISMC) neural network (NN) nonlinear control system reinforcement learning (RL)
ISSN号	1598-6446
DOI	10.1007/s12555-020-0923-6
通讯作者	Cheng, Ningbo(ningbo.cheng@ia.ac.cn)
英文摘要	Motivated by the increasing demands on complex borehole trajectories in oil and gas directional drilling, an adaptive fault-tolerant control (AFTC) method for drilling trajectory tracking and rectification of rotary steerable system (RSS) is proposed by adopting actor-critic reinforcement learning (RL) and integral sliding mode control (ISMC) in the presence of system uncertainties and fault signals. Considering a discrete delay differential equation (DDE) with distance delays, uncertainties and fault signals, first we design an online learning framework via actor-critic RL and radial basis function neural network (RBFNN) in order to make drill bit can track pre-designed trajectory accurately and smoothly. Then in order to handle the fault signals problem, we utilize ISMC to eliminate it as weak as possible and rectify drilling trajectory which may derivate original direction caused by it. The system stability and convergence have been analyzed to ensure uniformly ultimately boundedness of tracking errors and fault-tolerant control signals. The proposed method would have wide application potentials in realizing the trajectory tracking and rectification with automatic operations of directional drilling. The effectiveness and accuracy of it are validated by simulation results with ramp and sine input signals.
资助项目	National Key Research and Development Program of China[2017YFB1300104] ; National Natural Science Foundation of China[51405484] ; National Natural Science Foundation of China[61773374]
WOS关键词	SLIDING-MODE CONTROL ; NONLINEAR-SYSTEMS ; FEEDBACK CONTROL ; ALLOCATION ; VEHICLE ; DESIGN ; ROBOTS
WOS研究方向	Automation & Control Systems
语种	英语
出版者	INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
WOS记录号	WOS:000743573600029
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/47298]
专题	精密感知与控制研究中心_精密感知与控制
通讯作者	Cheng, Ningbo
作者单位	1.Harbin Univ Sci & Technol, Sch Automat, Harbin, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Chi,Zou, Wei,Cheng, Ningbo,et al. Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling[J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS,2022,20(1):334-348.
APA	Zhang, Chi,Zou, Wei,Cheng, Ningbo,&Gao, Junshan.(2022).Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling.INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS,20(1),334-348.
MLA	Zhang, Chi,et al."Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling".INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 20.1(2022):334-348.