Application of Data-Driven Deep Learning Method in Thrust Prediction of Solid Rocket Motor

As the key power system of space launch vehicle, the thrust prediction of solid rocket motor (SRM) is very important for improving the design efficiency and accuracy. The traditional thrust prediction method based on physical model is limited by the complexity of the model and the consumption of com...

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Bibliographic Details

Published in:	2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE) pp. 502 - 506
Main Authors:	Wang, Pang, Liu, Peijin, Ao, Wen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.03.2025
Subjects:	Accuracy Adaptation models Convolutional neural networks Data models data-driven Deep learning Feature extraction Long short term memory long short term memory networks Predictive models Reluctance motors solid rocket motor Solids thrust prediction
Online Access:	Get full text
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