Knowledge Commons of Institute of Automation，CAS
| 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
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| 发表期刊 | JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
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| 2018 | |
| 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 |
| DOI | 10.1016/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 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/21956 |
| 专题 | 中科院工业视觉智能装备工程实验室_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 |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | 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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| Trajectory tracking （2043KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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