NDLI: Modeling and control for an in-plane morphing wing

Content Provider	IEEE Xplore Digital Library
Author	Rongqi Shi Jianmei Song
Copyright Year	2012
Description	Author affiliation: Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing Institute of Technology, 00081, China (Rongqi Shi; Jianmei Song)
Abstract	System modeling and controller design for an in-plane morphing wing, which is proposed by NextGen Aeronautics, Inc., are investigated in the present paper. The model of the morphing wing is developed based on Lagrange method. The elastic forces of the skin and the aerodynamic load acting on the leading edge are both taken into account. The generalized forces are obtained by virtual work principle. Since the morphing wing is a strongly coupled, over-actuated and nonlinear system with multi-input and multi-output, the control system design includes a control allocator, a dynamic inversion controller and two PID controllers. The control allocator is designed base on pseudo inverse method; the dynamic inversion controller is applied to make the original system decoupled into two independent linear systems by proper nonlinear feedback transformation; two classical PID controllers are adopted for the linearlized systems. The correctness of the model is verified by ADAMS simulation and the effectiveness of the control system is tested by Matlab. The results indicate that, integrating Lagrange equation, pseudo inverse control allocation, dynamic inversion control and classical PID method, is an effective way to solve problems of modeling and control for morphing wings.
Starting Page	1430
Ending Page	1435
File Size	644336
Page Count	6
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6358104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent control Automation Decision support systems Discrete wavelet transforms PID control morphing wing modeling control allocation dynamic inversion
Content Type	Text
Resource Type	Article

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