Nonlinear model predictive control (NMPC) based trajectory tracking on EAST Articulated Maintenance Arm (EAMA)
文献类型：期刊论文
| 作者 | Zhang, Xuanchen1,2; Yao, Haifeng1; Zhang, Qiong1; Hao, Zhiwei1; Pan, Hongtao1 ; Yang, Yang1; Cheng, Yong1; Song, Yuntao1
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| 刊名 | FUSION ENGINEERING AND DESIGN
 |
| 出版日期 | 2021-02-01 |
| 卷号 | 163 |
| 关键词 | Nonlinear model predictive control Trajectory tracking Redundant robot motion control Collision avoidance Remote handling |
| ISSN号 | 0920-3796 |
| DOI | 10.1016/j.fusengdes.2020.112102 |
| 通讯作者 | Zhang, Xuanchen(zhangxuanchen@ipp.ac.cn) ; Yao, Haifeng(haifeng.yao@ipp.ac.cn) ; Pan, Hongtao(panht@ipp.ac.cn) |
| 英文摘要 | EAST Articulated Maintenance Arm (EAMA) is a 8-DOF redundant articulated serial manipulator utilized to conduct maintenance tasks in EAST (Experimental Advanced Superconducting Tokamak). Due to the redundancy and total length (8.7395 m) of manipulator and the narrow space in the CASK and the curved vacuum vessel(VV), it is difficult to perform online collision-free end effector trajectory tracking on EAMA. Current solution is to record a feasible trajectory offline by the operator after thousands of trials and errors as the reference for EAMA to track, which is time-consuming, inefficient, not friendly to operators, absence of resistance to external disturbances and difficult to be combined with other maintenance tasks like visual servoing. This paper proposes a Nonlinear Model Predictive Control (NMPC) based online trajectory tracking method, which is easy to use and flexible. The trajectory tracking problem is elegantly formulated as an optimization problem to minimize the end effector's tracking error while satisfying nonlinear constraints consisting of boundaries of state, output and control input, kinematic model of EAMA and collision avoidance constraints. Besides, a two-step recursive solver is developed to speed up the solving of NMPC problem to guarantee real-time control. The effectiveness and good performance of this method are demonstrated by an inspection simulation where the end effector tracks a semicircular trajectory. |
| WOS关键词 | SIMULATION |
| 资助项目 | China National Special Project for Magnetic Confinement Fusion Science Program[2017YFE0300503] ; CASHIPS Director's Fund[YZJJ2020QN12] |
| WOS研究方向 | Nuclear Science & Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000654173900001 |
| 出版者 | ELSEVIER SCIENCE SA |
| 资助机构 | China National Special Project for Magnetic Confinement Fusion Science Program ; CASHIPS Director's Fund |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/122614]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Zhang, Xuanchen; Yao, Haifeng; Pan, Hongtao |
| 作者单位 | 1.Chinese Acad Sci, Inst Plasma Phys, Hefei, Peoples R China 2.Univ Sci & Technol China, Hefei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xuanchen,Yao, Haifeng,Zhang, Qiong,et al. Nonlinear model predictive control (NMPC) based trajectory tracking on EAST Articulated Maintenance Arm (EAMA)[J]. FUSION ENGINEERING AND DESIGN,2021,163. |
| APA | Zhang, Xuanchen.,Yao, Haifeng.,Zhang, Qiong.,Hao, Zhiwei.,Pan, Hongtao.,...&Song, Yuntao.(2021).Nonlinear model predictive control (NMPC) based trajectory tracking on EAST Articulated Maintenance Arm (EAMA).FUSION ENGINEERING AND DESIGN,163. |
| MLA | Zhang, Xuanchen,et al."Nonlinear model predictive control (NMPC) based trajectory tracking on EAST Articulated Maintenance Arm (EAMA)".FUSION ENGINEERING AND DESIGN 163(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
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