Terminal Guidance Law for UAV Based on Receding Horizon Control Strategy
Joint Authors
Jie, Li
Yang, Chengwei
Wu, Zhenglong
Guan, Zhenyu
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-18
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Terminal guidance law against the maneuvering target is always the focal point.
Most of the literatures focus on estimating the acceleration of target and time to go in guidance law, which are difficult to acquire.
This paper presents a terminal guidance law based on receding horizon control strategy.
The proposed guidance law adopts the basic framework of receding horizon control, and the guidance process is divided into several finite time horizons.
Then, optimal control theory and target motion prediction model are used to derive guidance law for minimum time index function with continuous renewal of original conditions at the initial time of each horizon.
Finally, guidance law performs repeated iteration until intercepting the target.
The guidance law is of subprime optimal type, requiring less guidance information, and does not need to estimate the acceleration of target and time to go.
Numerical simulation has verified that the proposed guidance law is more effective than traditional methods on constant and sinusoidal target with bounded acceleration.
American Psychological Association (APA)
Wu, Zhenglong& Guan, Zhenyu& Yang, Chengwei& Jie, Li. 2017. Terminal Guidance Law for UAV Based on Receding Horizon Control Strategy. Complexity،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1142666
Modern Language Association (MLA)
Wu, Zhenglong…[et al.]. Terminal Guidance Law for UAV Based on Receding Horizon Control Strategy. Complexity No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1142666
American Medical Association (AMA)
Wu, Zhenglong& Guan, Zhenyu& Yang, Chengwei& Jie, Li. Terminal Guidance Law for UAV Based on Receding Horizon Control Strategy. Complexity. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1142666
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142666