Neural Networks Based Adaptive Controller Design for Unmanned Aircraft

摘要：

This paper presents an adaptive controller using neural networks (NN) for a unmanned aircraft (UA). The NN-based controller is designed to track angle of attack command signal of the reference model. The nonlinear UA dynamic model, which is approximated by NN identifier with backpropagation algorithm, is given. The NN-based controller is generated and trained off-line, while learning adaptively on-line. Furthermore, a modified performance function is introduced to smooth the network response. The tracking performance of the proposed controller is validated both with and without parameter uncertainties.

关键词： adaptive controller nerual networks unmanned aircraft

作者: Cao Lijia Zhang Shengxiu Yan Shiyuan Li Xiaofeng

作者单位: Precise Guidance Lab Xian Research Inst.of Hi-Tech Hongqing Town, Xian, P.R.China Precise Guidance Lab Xian Research Inst.of Hi-Tech Hongqing Town, Xian,P.R.China Precise Guidance Lab Xian Research Inst.of Hi-Tech Hongqing Town,Xian, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 422-425

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）