TY - GEN
T1 - Neural network based adaptive control with Hierarchy-Structured Dynamic Inversion applied to nonlinear aircraft model
AU - Ninomiya, Tetsujiro
AU - Miyazawa, Yoshikazu
PY - 2010
Y1 - 2010
N2 - Japan Aerospace Exploration Agency plans a flight demonstration project for a super sonic transport. A typical supersonic transport has a larger flight envelope than conventional one, so that the flight controller is required to be more flexible to the flight environment. Therefore, the adaptive control method is a promising candidate for these flight control system. In this paper, we propose an adaptive control method which is comprised of neural networks and Hierarchical-Structured Dynamic Inversion. Its structure is clearly comprehensible to the users and numerical simulation results show that proposed method is effective even with model errors.
AB - Japan Aerospace Exploration Agency plans a flight demonstration project for a super sonic transport. A typical supersonic transport has a larger flight envelope than conventional one, so that the flight controller is required to be more flexible to the flight environment. Therefore, the adaptive control method is a promising candidate for these flight control system. In this paper, we propose an adaptive control method which is comprised of neural networks and Hierarchical-Structured Dynamic Inversion. Its structure is clearly comprehensible to the users and numerical simulation results show that proposed method is effective even with model errors.
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U2 - 10.2514/6.2010-7869
DO - 10.2514/6.2010-7869
M3 - Conference contribution
AN - SCOPUS:84867836629
SN - 9781600869624
T3 - AIAA Guidance, Navigation, and Control Conference
BT - AIAA Guidance, Navigation, and Control Conference
T2 - AIAA Guidance, Navigation, and Control Conference
Y2 - 2 August 2010 through 5 August 2010
ER -