Flight Control for Hovering a Tandem Rotor Helicopter Based on Fuzzy Neural Networks
This paper concerns flight control for hovering a tandem rotor helicopter. Considering on nonlinearity and MIMO features of the tandem rotor helicopter, the flight control system has been divided into four individual subsystems. And a fuzzy-neural networks (FNW) controller for each subsystem can be designed by fuzzy rules and four layers neural networks. Furthermore, an elevation command tracking control in hovering a tandem rotor helicopter is designed by using this FNW control, and the corresponded fuzzy weights are updated by a gradient learning algorithm, which makes the close-loop system self-adaptation. Finally an elevation commanding tracking example verifies the obtained conclusion.
Shiqian Liu Jihong Zhu
State Key Lab of Intelligent Technology and System Dept. of Computer Science Tsinghua University Beijing 100084, China
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）