Title :
Neural robust adaptive hypersonic flight control without back-stepping
Author :
Shixing Wang ; Fuchun Sun ; Yongquan Zhang ; Bin Xu ; Yiwei Zhang
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
In this paper, one robust adaptive controller is proposed for hypersonic flight dynamics with high gain observer (HGO) and neural networks (NNs). For the attitude subsystem, it contains flight path angle, pitch angle and pitch rate. To avoid the complex back-stepping design, the dynamics are transformed into the normal feedback form. With HGO estimating the newly defined states, the controller is proposed with error feedback, NN approximation and the robust item. It is proved that the NN weights and filtered tracking error are guaranteed in the semiglobal sense. The simulation with March 15 is conducted to show the effectiveness of the proposed method.
Keywords :
adaptive control; aerospace control; neurocontrollers; robust control; HGO estimating; NN approximation; attitude subsystem; complex backstepping design; error feedback; filtered tracking error; flight path angle; high gain observer; hypersonic flight dynamics; neural networks; neural robust adaptive hypersonic flight control; normal feedback form; pitch angle; pitch rate; robust item; semiglobal sense; Adaptive systems; Approximation methods; Artificial neural networks; Educational institutions; Robustness; Vectors; Vehicle dynamics;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007556