Optimal Space Station Solar Array Gimbal Angle Determination Via Radial BasisFunction Neural Networks

摘要

The potential for excessive plume impingement loads on Space Station Freedomsolar arrays, caused by jet firings from an approaching Space Shuttle, is addressed. An artificial neural network is designed to determine commanded solar array beta gimbal angle for minimum plume loads. The commanded angle would be determined dynamically. The network design proposed involves radial basis functions as activation functions. Design, development, and simulation of this network design are discussed.