Neural Network Control for the Probe Landing Based on Proportional Integral Observer
文献类型：期刊论文
| 作者 | Li, Yuanchun1; Ma, Tianhao1; Zhao, Bo1,2
|
| 刊名 | MATHEMATICAL PROBLEMS IN ENGINEERING
 |
| 出版日期 | 2015 |
| 英文摘要 | For the probe descending and landing safely, a neural network control method based on proportional integral observer (PIO) is proposed. First, the dynamics equation of the probe under the landing site coordinate systemis deduced and the nominal trajectory meeting the constraints in advance on three axes is preplanned. Then the PIO designed by using LMI technique is employed in the control law to compensate the effect of the disturbance. At last, the neural network control algorithm is used to guarantee the double zero control of the probe and ensure the probe can land safely. An illustrative design example is employed to demonstrate the effectiveness of the proposed control approach. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications |
| 研究领域[WOS] | Engineering ; Mathematics |
| 关键词[WOS] | OPTICAL GUIDANCE ; SPACECRAFT ; ASTEROIDS ; MODELS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351144600001 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8863]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 作者单位 | 1.Changchun Univ Technol, Dept Control Engn, Changchun 130012, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yuanchun,Ma, Tianhao,Zhao, Bo. Neural Network Control for the Probe Landing Based on Proportional Integral Observer[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2015. |
| APA | Li, Yuanchun,Ma, Tianhao,&Zhao, Bo.(2015).Neural Network Control for the Probe Landing Based on Proportional Integral Observer.MATHEMATICAL PROBLEMS IN ENGINEERING. |
| MLA | Li, Yuanchun,et al."Neural Network Control for the Probe Landing Based on Proportional Integral Observer".MATHEMATICAL PROBLEMS IN ENGINEERING (2015). |
入库方式： OAI收割
来源：自动化研究所
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