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Quaternion-Based Adaptive Output Feedback Attitude Control of Spacecraft Using Chebyshev Neural Networks
Zou, An-Min1; Kumar, Krishna Dev1; Hou, Zeng-Guang2
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS
2010-09-01
Volume21Issue:9Pages:1457-1471
SubtypeArticle
AbstractThis 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.
KeywordAdaptive Control Chebyshev Neural Network (Cnn) Output Feedback Quaternion Spacecraft Attitude
WOS HeadingsScience & Technology ; Technology
WOS KeywordTRACKING CONTROL ; SYSTEM-IDENTIFICATION ; ROBOT MANIPULATORS ; NONLINEAR-SYSTEMS ; VELOCITY ; APPROXIMATION ; OBSERVER ; DESIGN
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000283231200007
Citation statistics
Cited Times:65[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3453
Collection复杂系统管理与控制国家重点实验室_先进机器人
Affiliation1.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
Recommended Citation
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.
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