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

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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Bibliographic Details
Main Authors: Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Aerospace
Subjects:
wide-range
variable cycle engine
PID control
deep reinforcement learning
action space pruning
Online Access:https://www.mdpi.com/2226-4310/12/5/424
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