Abstract
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.
Original language | English |
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Title of host publication | AIAA Guidance, Navigation, and Control Conference |
DOIs | |
Publication status | Published - Dec 1 2010 |
Event | AIAA Guidance, Navigation, and Control Conference - Toronto, ON, Canada Duration: Aug 2 2010 → Aug 5 2010 |
Other
Other | AIAA Guidance, Navigation, and Control Conference |
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Country | Canada |
City | Toronto, ON |
Period | 8/2/10 → 8/5/10 |
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Control and Systems Engineering