Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics
文献类型：期刊论文
| 作者 | Tong, Yuchuang2 ; Liu, Jinguo1,3; Zhou, Hao1,3; Ju, Zhaojie3,4; Zhang, Xin1,3
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| 刊名 | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
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| 出版日期 | 2023-09-04 |
| 页码 | 18 |
| 关键词 | Trajectory tracking adaptive control robotic manipulators unknown kinematics model uncertain dynamics |
| ISSN号 | 1545-5955 |
| DOI | 10.1109/TASE.2023.3309964 |
| 通讯作者 | Liu, Jinguo(liujinguo@sia.cn) |
| 英文摘要 | This paper addresses a long-standing yet well-documented open problem on trajectory tracking control of manipulators, which is simultaneously affected by unknown kinematics and uncertain dynamics. A theoretical framework for implementing exponential tracking control is established by unifying two novel controllers, i.e., the Jacobian matrix adaption (JMA) controller and the observer-based estimation law, into an integrated control system. The proposed JMA controller converts internal, implicit and immeasurable model information to external, explicit and measurable input-output information for adaptive learning of unknown kinematics. The proposed observer-based estimation law can guarantee the global exponential stability of the estimation error for accurately estimating uncertain dynamics. In addition, the inherent measurement noise, hard nonlinearity, and limited sampling period lead to chattering phenomenon and accumulated errors occur during convergence process. Hence, an improved simple model-free adaptive sliding mode control (ASMC) scheme is proposed to compensate these limitations, which has fast adaptability and powerful tracking and chattering suppression capabilities. It is theoretically proved that the integrated control system is globally exponentially stable. Simulation, experiments and comparison verify the convergence performance of the proposed integrated control system. Note to Practitioners-Despite the enormous advantages provided by advanced robotic manipulators, developing effective tracking control schemes remains a challenging problem Unfortunately, however, the assumption of precise kinematic and dynamic parameters during tracking control is practically unrealistic due to the absence of precise parameters and measurements of the interaction between robotic manipulators and external environment. This uncertainty will reduce the control performance of manipulators, such as accuracy and repeatability. It is of practical significance to further solve the tracking control of manipulators while considering both the uncertain kinematics and the uncertain dynamics. Therefore, this paper addresses the tracking control problem of manipulators, which is simultaneously affected by unknown kinematics and uncertain dynamics. By unifying the two novel controllers into an integrated control system, a theoretical framework for implementing exponential tracking control is established. In addition, an improved scheme is proposed to compensate chattering phenomenon and accumulated errors during the convergence process. The superior convergence performance of the integrated control system are verified by the simulation and experiments. |
| WOS关键词 | SLIDING-MODE CONTROL ; BACKSTEPPING CONTROL ; DESIGN ; SPACE |
| 资助项目 | National Key Research and Development Program of China[2022YFB3303800] ; National Key Research and Development Program of China[2018YFB1304600] ; National Natural Science Foundation of China[62303457] ; National Natural Science Foundation of China[U21A20482] ; China Postdoctoral Science Foundation[2023M733737] ; Binzhou Weiqiao Guoke Advanced Technology Research Institute[E2D21710] |
| WOS研究方向 | Automation & Control Systems |
| 语种 | 英语 |
| WOS记录号 | WOS:001064596100001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Binzhou Weiqiao Guoke Advanced Technology Research Institute |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53200]  |
| 专题 | 中科院工业视觉智能装备工程实验室 |
| 通讯作者 | Liu, Jinguo |
| 作者单位 | 1.Chinese Acad Sci, Inst Robot & Intelligent Mfg, Shenyang 110169, Peoples R China 2.Chinese Acad Sci, Inst Automat, CAS Engn Lab Intelligent Ind Vis, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R China 4.Univ Portsmouth, Sch Comp, Portsmouth PO1 3HE, England |
| 推荐引用方式 GB/T 7714 | Tong, Yuchuang,Liu, Jinguo,Zhou, Hao,et al. Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2023:18. |
| APA | Tong, Yuchuang,Liu, Jinguo,Zhou, Hao,Ju, Zhaojie,&Zhang, Xin.(2023).Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,18. |
| MLA | Tong, Yuchuang,et al."Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2023):18. |
入库方式： OAI收割
来源：自动化研究所
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