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    QPSO-BP Neural Network Model for Actuator Pressure and Friction Torque in Solid Rocket Ball Joint Nozzles

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    JAEEEZ.ASENG-6576.pdf (3.350Mb)
    Date
    2026
    Author
    Shan, Xin
    Han, Xiaobo
    Zhang, Chuxiao
    Fu, Chunnan
    Bian, Lei
    Chu, Jinkui
    Zhang, Ran
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    Abstract
    AbstractFriction torque is crucial to the overall design, reliability of motion, and accuracy of a rocket nozzle. The accurate prediction of driving pressure is essential for calculating the friction torque. To address this issue, we propose a prediction ...Practical ApplicationsThis paper provides rocket engineers and aerospace practitioners with a highly accurate tool for predicting the driving pressure needed to control rocket nozzles during flight. The QPSO-BP neural network model achieves an average ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314182
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