Asymptotic Tracking Control for Air Breathing Hypersonic Vehicles via a Nonlinear Robust Adaptive Methodology
This paper presents a new continuous nonlinear robust controller for the tracking problem of a class of air-breathing hypersonic vehicles. The vehicle’s longitudinal dynamic model contains unstable zero-dynamics, which brings great challenges for the control development. A nonlinear robust design approach is combined with dynamic parameter estimation to improve control performance under model uncertainties. The flight controller requires very limited knowledge of the system dynamic model, and is free of chattering issue. Lyapunov based analysis are utilized to prove that the proposed control laws achieve asymptotic tracking of the vehicle’s longitudinal velocity and flight path angle (FPA) under system parametric uncertainties, while keeping all the other signals bounded. Numerical simulation results are provided to validate the performance of the proposed algorithms.
Hypersonic Vehicle Nonlinear Control Robust Asymptotic Tracking
Yao Zhang Bin Xian Chen Diao Bo Zhao Jianchuan Guo
The Institute of Robotics and Autonomous System, the Tianjin Key Laboratory of Process Measurement a The Institute of Robotics and Autonomous System, the Tianjin Key Laboratory of Process Measurement a
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
992-997
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）