Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning

In this paper, a controller design method based on deep reinforcement learning is proposed for a wide-range variable cycle engine with a turbine interstage mixed architecture. The PID controller is subject to limitations, including single-input single-output limitations, low regulation efficiency, a...

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Vydáno v:	Aerospace Ročník 12; číslo 5; s. 424
Hlavní autoři:	Ding, Yaoyao, Wang, Fengming, Mu, Yuanwei, Sun, Hongfei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.05.2025
Témata:	action space pruning Aircraft Algorithms Artificial intelligence Control systems design Controllers Deep learning deep reinforcement learning Design Efficiency Energy consumption Engine control Engines Flight conditions Geometry Laws, regulations and rules Methods Neural networks PID control Process controls Proportional integral derivative SISO (control systems) Turbines variable cycle engine Variable cycle engines Variables wide-range Massachusetts
ISSN:	2226-4310, 2226-4310
On-line přístup:	Získat plný text
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