NDLI: Single moving-mass asymmetrical reentry vehicle guidance law design

Content Provider	IEEE Xplore Digital Library
Author	Wang Lin-lin Yu Jian-qiao Jing Wen-ming Su Xiao-long
Copyright Year	2015
Description	Author affiliation: Key Lab. of Dynamics & Control of Flight Vehicle, Beijing Inst. of Technol., Beijing, China (Wang Lin-lin; Yu Jian-qiao; Su Xiao-long) \|\| Ordnance Sci. Inst. of China, Beijing, China (Jing Wen-ming)
Abstract	By analyzing predictor-corrector method, a modified guidance law is designed for single moving-mass asymmetrical reentry vehicle. It could guarantee a relatively high precision while the requirements for computational efficiency of calculator in the vehicle is low. Principles of the predictor-corrector method are analyzed in detailed and the problems which need to be solved when applied to the asymmetrical reentry vehicle are indicated. A modified strategy is put forward to deal with the problems. When the altitude of the trajectory is relatively high, the predictor-corrector method is adopted and the constraints of the precision in the end of the predictor-corrector part of the whole trajectory are relaxed. When parameter Ω > 1, the modified method can be adopted for the end of the whole trajectory. The simulation results show that the modified guidance law could satisfy the constraints of computational efficiency and guarantee a high precision at the same time.
Starting Page	5052
Ending Page	5056
File Size	286377
Page Count	5
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7260426
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	asymmetrical reentry vehicle Calculators Aerodynamics reentry guidance law Trajectory Computational efficiency Iterative methods moving-mass control predictor-corrector Vehicle dynamics Vehicles
Content Type	Text
Resource Type	Article

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