Trajectory Tracking Control of Variable Sweep Aircraft Based on Reinforcement Learning

Autor:	Rui Cao, Kelin Lu
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	morphing aircraft deep deterministic policy gradient path tracking environmental disturbance Technology
Zdroj:	Biomimetics, Vol 9, Iss 5, p 263 (2024)
Druh dokumentu:	article
ISSN:	2313-7673
DOI:	10.3390/biomimetics9050263
Popis:	An incremental deep deterministic policy gradient (IDDPG) algorithm is devised for the trajectory tracking control of a four-wing variable sweep (FWVS) aircraft with uncertainty. The IDDPG algorithm employs the line-of-sight (LOS) method for path tracking, formulates a reward function based on position and attitude errors, and integrates long short-term memory (LSTM) units into IDDPG algorithm to enhance its adaptability to environmental changes during flight. Finally, environmental disturbance factors are introduced in simulation to validate the designed controller’s ability to track climbing trajectories of morphing aircraft in the presence of uncertainty.
Databáze:	Directory of Open Access Journals
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