Research of Aircraft Axial Motion Parameters Estimating Model Based on RBF NN and Simulation

摘要：

In view of difficulty to calculate the equations and parameters of aircraft axial motion, the Radial Basis Function Neural Network (RBF NN) models were used for estimation of aircraft parameters of the lengthways movement in short period based on RBF NN theory. Estimating structure model of RBF NN and estimating procedure was built, and the distributing of RBF NN to precision was analyzed. The simulation results show that the estimating model of the RBF NN of aircraft axial motion has strongpoint in adapting multi-variable, and high speed and precision.

关键词： RBF NN axial motion parameters lengthways movement simulation

作者: Wang Xinxin Qu Dongcai Wu Xiaonan Chen Weiliang

作者单位: Institute of Opto-Electronic Information,Yantai University,Yantai 264005,China Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,Chin

会议类型: 国际会议

会议名称: The Second International Symposium on Test Automation & Instrumentation(ISTAI2008)(第二届国际自动化测试与仪器仪表学术会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）