Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning
Zhang, Chi1,2; Zou, Wei1,3; Cheng, Ningbo1; Gao, Junshan2
2018
发表期刊JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
卷号355期号:2页码:803-826
文章类型Article
摘要Rotary steerable system (RSS) is a directional drilling technique which has been applied in oil and gas exploration under complex environment for the requirements of fossil energy and geological prospecting. The nonlinearities and uncertainties which are caused by dynamical device, mechanical structure, extreme downhole environment and requirements of complex trajectory design in the actual drilling work increase the difficulties of accurate trajectory tracking. This paper proposes a model-based dual-loop feedback cooperative control method based on interval type-2 fuzzy logic control (IT2FLC) and actor-critic reinforcement learning (RL) algorithms with one-order digital low-pass filters (LPF) for three-dimensional trajectory tracking of RSS. In the proposed RSS trajectory tracking control architecture, an IT2FLC is utilized to deal with system nonlinearities and uncertainties, and an online iterative actor-critic RL controller structured by radial basis function neural networks (RBFNN) and adaptive dynamic programming (ADP) is exploited to eliminate the stick-slip oscillations relying on its approximate properties both in action function (actor) and value function (critic). The two control effects are fused to constitute cooperative controller to realize accurate trajectory tracking of RSS. The effectiveness of our controller is validated by simulations on designed function tests for angle building hole rate and complete downhole trajectory tracking, and by comparisons with other control methods. (c) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
WOS标题词Science & Technology ; Technology ; Physical Sciences
DOI10.1016/j.jfranklin.2017.12.001
关键词[WOS]DIRECTIONAL DRILLING SYSTEMS ; NONLINEAR-SYSTEMS ; FEEDBACK-CONTROL ; DESIGN ; PERFORMANCE
收录类别SCI
语种英语
项目资助者National Natural Science Foundations of PR China(51405484 ; Project of Development in Tianjin for Scientific Research Institutes ; Tianjin Government(16PTYJGX00050) ; 61773374)
WOS研究方向Automation & Control Systems ; Engineering ; Mathematics
WOS类目Automation & Control Systems ; Engineering, Multidisciplinary ; Engineering, Electrical & Electronic ; Mathematics, Interdisciplinary Applications
WOS记录号WOS:000425496700009
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21956
专题精密感知与控制研究中心_精密感知与控制
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Heilongjiang, Peoples R China
3.CASIA Co Ltd, Tianjin Intelligent Technol Inst, Tianjin 300309, Peoples R China
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Zhang, Chi,Zou, Wei,Cheng, Ningbo,et al. Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning[J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2018,355(2):803-826.
APA Zhang, Chi,Zou, Wei,Cheng, Ningbo,&Gao, Junshan.(2018).Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning.JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,355(2),803-826.
MLA Zhang, Chi,et al."Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning".JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 355.2(2018):803-826.
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