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

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 ...