Article
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Preserved in Portico This version is not peer-reviewed
Predictor-corrector Guidance for Hypersonic Morphing Vehicle
Version 1
: Received: 31 July 2023 / Approved: 31 July 2023 / Online: 1 August 2023 (08:27:13 CEST)
A peer-reviewed article of this Preprint also exists.
Yao, D.; Xia, Q. Predictor–Corrector Guidance for a Hypersonic Morphing Vehicle. Aerospace 2023, 10, 795. Yao, D.; Xia, Q. Predictor–Corrector Guidance for a Hypersonic Morphing Vehicle. Aerospace 2023, 10, 795.
Abstract
Aiming at the problem of hypersonic morphing vehicle avoiding no-fly zones and reaching the target, an improved predictor-corrector guidance method is proposed. Firstly, the aircraft motion model and the constraint model are established. Then, the basic algorithm is given, the Q-learning method is used to design the attack angle and sweep angle scheme to ensure that the aircraft can fly over the low-altitude zones. The B-spline curve is used to design the location of flight path points and the bank angle scheme is designed according to the predictor-corrector method, so that the aircraft can fly around to avoid high-altitude zones. Next, Monte Carlo reinforcement learning(MCRL) method is used to improve predictor-corrector method and Deep Neural Network(DNN) is used to fit reward function. The improved method can generate trajectory with better performance. Simulation results verify the effectiveness of the proposed algorithm.
Keywords
hypersonic morphing vehicle; predictor-corrector guidance; Q-learning; B-spline curve; Monte Carlo reinforcement learning
Subject
Engineering, Aerospace Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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