Quaternion-Based Adaptive Output Feedback Attitude Control of Spacecraft Using Chebyshev Neural Networks

	Quaternion-Based Adaptive Output Feedback Attitude Control of Spacecraft Using Chebyshev Neural Networks
	Zou, An-Min 1; Kumar, Krishna Dev 1; Hou, Zeng-Guang2
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS
	2010-09-01
卷号	21 期号:9 页码:1457-1471
文章类型	Article
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.
关键词	Adaptive Control Chebyshev Neural Network (Cnn) Output Feedback Quaternion Spacecraft Attitude
WOS标题词	Science & Technology ; Technology
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研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000283231200007
引用统计	被引频次：107[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3453
专题	复杂系统认知与决策实验室_先进机器人
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.