A neural network trained on synthetic data estimates thrust from in-situ sensors, and an RCAC-based adaptive PID regulates the thrust of a simulated solid fuel ramjet with a variable-geometry inlet.
Investigati on of solid-fuel, dual-mode combustion ramjets,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
An In-situ Solid Fuel Ramjet Thrust Monitoring and Regulation Framework Using Neural Networks and Adaptive Control
A neural network trained on synthetic data estimates thrust from in-situ sensors, and an RCAC-based adaptive PID regulates the thrust of a simulated solid fuel ramjet with a variable-geometry inlet.