Technical Papers
Feb 9, 2017

Virtual Terminal–Based Adaptive Predictor–Corrector Entry Guidance

Publication: Journal of Aerospace Engineering
Volume 30, Issue 4

Abstract

An adaptive predictor-corrector guidance algorithm is presented to improve the performance of atmospheric entry guidance. In the predictor, a virtual entry terminal (VET) is employed instead of an actual terminal to reduce the computational request. The VET is adaptively selected from a reference trajectory according to the vehicle’s authority to cancel disturbances; thus, it is reachable by the vehicle in different cases. In the corrector, an effective modification method for the bank angle and the angle of attack is designed. With the predictor-corrector algorithm, the vehicle is able to reach the VET. After the VET, a reference trajectory tracking law is employed to fly the vehicle to the actual entry terminal. The adaptive entry guidance method is verified using Monte Carlo simulations. A comparison with the conventional predictor-corrector algorithm shows that the computation time is significantly reduced by employing the VET in the adaptive algorithm.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Nos. 61121003, 61333011, 91116002, and 91216304).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 30Issue 4July 2017

History

Received: Sep 23, 2015
Accepted: Oct 13, 2016
Published ahead of print: Feb 9, 2017
Published online: Feb 10, 2017
Published in print: Jul 1, 2017
Discussion open until: Jul 10, 2017

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Authors

Affiliations

Postdoctoral Researcher, Science and Technology on Aircraft Control Laboratory, Beihang Univ., Beijing 100191, China (corresponding author). ORCID: https://orcid.org/0000-0002-0764-2538. E-mail: [email protected]
Qingdong Li [email protected]
Ph.D.
Lecturer, Science and Technology on Aircraft Control Laboratory, Beihang Univ., Beijing 100191, China. E-mail: [email protected]
Ph.D.
Professor, Science and Technology on Aircraft Control Laboratory, Beihang Univ., Beijing 100191, China. E-mail: [email protected]

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