摘要
基于轨迹线性化方法提出了鲁棒自适应模糊跟踪轨迹线性化控制(Robust adaptive fuzzy tracking con-trol,RAFTC)方法,并应用于空天飞行器(Aerospace vehicle,ASV)飞行控制系统设计。利用模糊系统能以任意精度逼近非线性系统的特性,对未知干扰和不确定性进行逼近,求得的模糊函数作为系统不确定界函数,且整个系统仅需在线调整不确定界函数的界,利于工程实现。采用Lyapunov方法,证明了闭环系统所有信号一致最终有界。最后利用本文提出的控制方案设计了空天飞行器飞行控制系统,并在高超声速条件下进行了仿真验证。仿真结果表明了控制方案的有效性和鲁棒性。
A robust adaptive fuzzy tracking control （RAFTC） method is presented based on trajectory linearization method for a class of multi-input multi-output nonlinear uncertain system, and used on an aerospace vehicle （ASV）. The unknown disturbances and uncertainties are estimated by a fuzzy system in virtue of its approaching ability, and then the fuzzy system is used as the upper bound of the uncertainty. Only the upper bound of uncertainty is adjusted on line and it is convenient to be realized in engineering. All the signals of the composite closed-loop system are proved to be uniformly and ultimately bounded using Lyapunov method. Finally, the flight control system of ASV is designed based on the proposed method. Simulation results demonstrate the effectiveness and the robustness of the method.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2008年第1期70-75,共6页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家自然科学基金(90405011)资助项目
关键词
飞行控制系统
空天飞行器
轨迹线性化控制
鲁棒自适应控制
模糊系统
flight control system
aerospace vehicle
trajectory linearization control
robust adaptive control
fuzzy systems
