NDLI: Simulation of Dynamic Inversion with Neural Network and its Applications to MAV

Content Provider	IEEE Xplore Digital Library
Author	He Guang-lin Wu Guo-hui
Copyright Year	2008
Description	Author affiliation: Wuhan Ordnance Petty Officer's Sch., Wuhan (Wu Guo-hui) \|\| Sch. of Aerosp. Sci. & Technol., Beijing Inst. of Technol., Beijing (He Guang-lin)
Abstract	The MAV accurate modes are typically unavailable. Most traditional methods for system design are complex and can not get satisfactory effect. Recent work in dynamic inversion with neural network may be applied to control a MAV where the reference commands include position, velocity, attitude and angular rate. This control technology can provide the MAV with an admirably command follow and steady control capability. Neural networks are used directly as the controller as well as indirect designs that are based on a neural network process model. The emulator is compiled by using NNCTRL20 and NNSYSID20 in MATLAB. Then the main result of this simulation is presented. It indicates that the method has high precision and strong stability, which can serve the control of MAV. Thereafter, an amendment about controlling system with dynamic inversion of the MAV is described.
Starting Page	60
Ending Page	63
File Size	345899
Page Count	4
File Format	PDF
ISBN	9780769533919
DOI	10.1109/ICINIS.2008.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Attitude control MAV Aerodynamics Control systems Nonlinear dynamical systems MATLAB neural network Aerospace control Intelligent networks Neural networks dynamic inversion Mathematical model Aircraft
Content Type	Text
Resource Type	Article

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