Direct Adaptive Aircraft Control Using Dynamic Cell Structure Neural Networks
Author | : National Aeronautics and Space Administration (NASA) |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 36 |
Release | : 2018-08-17 |
ISBN-10 | : 1725675552 |
ISBN-13 | : 9781725675551 |
Rating | : 4/5 (551 Downloads) |
Download or read book Direct Adaptive Aircraft Control Using Dynamic Cell Structure Neural Networks written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-08-17 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Dynamic Cell Structure (DCS) Neural Network was developed which learns topology representing networks (TRNS) of F-15 aircraft aerodynamic stability and control derivatives. The network is integrated into a direct adaptive tracking controller. The combination produces a robust adaptive architecture capable of handling multiple accident and off- nominal flight scenarios. This paper describes the DCS network and modifications to the parameter estimation procedure. The work represents one step towards an integrated real-time reconfiguration control architecture for rapid prototyping of new aircraft designs. Performance was evaluated using three off-line benchmarks and on-line nonlinear Virtual Reality simulation. Flight control was evaluated under scenarios including differential stabilator lock, soft sensor failure, control and stability derivative variations, and air turbulence. Jorgensen, Charles C. Ames Research Center NASA-TM-112198, A-976719A, NAS 1.15:112198 RTOP 519-30-12...