NDLI: A Hybrid Control Method for an Unmanned Scale Helicopter Attitude

Content Provider	IEEE Xplore Digital Library
Author	Jiande Wu Ping Li Zhou Fang Bo Han
Copyright Year	2006
Description	Author affiliation: Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou (Jiande Wu; Ping Li; Zhou Fang; Bo Han)
Abstract	A hybrid control method is designed and implemented on the attitude control of an unmanned scale helicopter. The hybrid controller is composed of a linear controller and a radial basis function neural network compensator. The compensator, which features in optimal approximation, can compensate the dynamical inversion error caused by the deficiency of full knowledge of helicopter dynamics. This system is applied to an unmanned scale helicopter mounted on a vertical platform. The application results show that the proposed controller cannot only cancel the dynamical error effectively but also improve tracking performance of the attitude control system. And the fine robustness for imprecise helicopter model is accounted for
Starting Page	9119
Ending Page	9123
File Size	268531
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713764
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Helicopters Attitude control Aerodynamics Control systems Neural networks Pulse width modulation Servomechanisms Radial basis function networks Sliding mode control Open loop systems Attitude control system Unmanned scale helicopter Radial basis function neural network
Content Type	Text
Resource Type	Article

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