Quaternion-Based Adaptive Output Feedback Attitude Control of Spacecraft Using Chebyshev Neural Networks
文献类型：期刊论文
| 作者 | Zou, An-Min1; Kumar, Krishna Dev1; Hou, Zeng-Guang2
|
| 刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS
 |
| 出版日期 | 2010-09-01 |
| 卷号 | 21期号:9页码:1457-1471 |
| 关键词 | Adaptive control Chebyshev neural network (CNN) output feedback quaternion spacecraft attitude |
| 英文摘要 | This paper investigates the problem of output feedback attitude control of an uncertain spacecraft. Two robust adaptive output feedback controllers based on Chebyshev neural networks (CNN) termed adaptive neural networks (NN) controller-I and adaptive NN controller-II are proposed for the attitude tracking control of spacecraft. The four-parameter representations (quaternion) are employed to describe the spacecraft attitude for global representation without singularities. The nonlinear reduced-order observer is used to estimate the derivative of the spacecraft output, and the CNN is introduced to further improve the control performance through approximating the spacecraft attitude motion. The implementation of the basis functions of the CNN used in the proposed controllers depends only on the desired signals, and the smooth robust compensator using the hyperbolic tangent function is employed to counteract the CNN approximation errors and external disturbances. The adaptive NN controller-II can efficiently avoid the over-estimation problem (i.e., the bound of the CNNs output is much larger than that of the approximated unknown function, and hence, the control input may be very large) existing in the adaptive NN controller-I. Both adaptive output feedback controllers using CNN can guarantee that all signals in the resulting closed-loop system are uniformly ultimately bounded. For performance comparisons, the standard adaptive controller using the linear parameterization of spacecraft attitude motion is also developed. Simulation studies are presented to show the advantages of the proposed CNN-based output feedback approach over the standard adaptive output feedback approach. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | TRACKING CONTROL ; SYSTEM-IDENTIFICATION ; ROBOT MANIPULATORS ; NONLINEAR-SYSTEMS ; VELOCITY ; APPROXIMATION ; OBSERVER ; DESIGN |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000283231200007 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3453]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 作者单位 | 1.Ryerson Univ, Dept Aerosp Engn, Toronto, ON M5B 2K3, Canada 2.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zou, An-Min,Kumar, Krishna Dev,Hou, Zeng-Guang. Quaternion-Based Adaptive Output Feedback Attitude Control of Spacecraft Using Chebyshev Neural Networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2010,21(9):1457-1471. |
| APA | Zou, An-Min,Kumar, Krishna Dev,&Hou, Zeng-Guang.(2010).Quaternion-Based Adaptive Output Feedback Attitude Control of Spacecraft Using Chebyshev Neural Networks.IEEE TRANSACTIONS ON NEURAL NETWORKS,21(9),1457-1471. |
| MLA | Zou, An-Min,et al."Quaternion-Based Adaptive Output Feedback Attitude Control of Spacecraft Using Chebyshev Neural Networks".IEEE TRANSACTIONS ON NEURAL NETWORKS 21.9(2010):1457-1471. |
入库方式： OAI收割
来源：自动化研究所
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