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Neural network-based nonlinear dynamic inversion control of variable-span morphing aircraft

Jihoon Lee, Youdan Kim

7th European Conference for Aeronautics and Space Sciences (EUCASS), Milan, Italy, Jul. 2017

Figure 2: Command augmentation system for morphing aircraft
Figure 2: Command augmentation system for morphing aircraft
Figure 4: Lateral channel training results
Figure 4: Lateral channel training results

Figures and captions reproduced from the paper (© the authors and original publisher).

Morphing aircraft is an aircraft that can change its configuration during the flight. Aircraft morphing technology is one of the methods that may improve the performance of the aircraft for various flight conditions. In this study, nonlinear control augmentation system for the morphing aircraft is proposed using nonlinear dynamic inversion based on neural network. Two-layer feed-forward neural networks are used to obtain longitudinal and lateral inverse maps which convert desired aerodynamic moments into actual control commands. Numerical simulation is performed for two maneuvers to demonstrate the effectiveness of the proposed scheme.

EUCASShttps://www.eucass.eu/doi/EUCASS2017-195.pdfDOI: 10.13009/eucass2017-195https://doi.org/10.13009/eucass2017-195BibTeX@inproceedings{Lee2017, title = {Neural network-based nonlinear dynamic inversion control of variable-span morphing aircraft}, author = {Jihoon Lee and Youdan Kim}, year = {2017}, booktitle = {7th European Conference for Aeronautics and Space Sciences (EUCASS), Milan, Italy, Jul. 2017}, doi = {10.13009/eucass2017-195}, }