Design of Neutral Network-Sliding Model Based Large Envelope Flight Control Law

摘要：

　　Applying neutral network-sliding model control design methods to large envelope flight control law of aircraft whose model parameter varies greatly with flight condition was studied in this paper.Neural network theory is used to approximately linearize the nonlinear system and cancel the errors brought with approximate inversion,and the residual error is solved by sliding model control.So it can approximate the nonlinear model accurately,and improve robustness and anti-jamming capability of the flight control system.Simulation results show the design neural network — sliding model large envelope flight controller has excellent control performance.

关键词： nonlinear control adaptive control neural network sliding model control

作者: XIN Gongcai CHEN Weilun TAO Jinniu

作者单位: The First Aeronautical Institute of Air Force, Xinyang, Henan, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 503-507

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）