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Appl. Sci. 2015, 5(3), 575-586; doi:10.3390/app5030575

Design of a Stability Augmentation System for an Unmanned Helicopter Based on Adaptive Control Techniques

College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, 29 YuDao St., Nanjing 210016, China
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Author to whom correspondence should be addressed.
Academic Editor: Dimitrios G. Aggelis
Received: 26 July 2015 / Revised: 25 August 2015 / Accepted: 8 September 2015 / Published: 11 September 2015
(This article belongs to the Special Issue Acoustic and Elastic Waves: Recent Trends in Science and Engineering)
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Abstract

The task of control of unmanned helicopters is rather complicated in the presence of parametric uncertainties and measurement noises. This paper presents an adaptive model feedback control algorithm for an unmanned helicopter stability augmentation system. The proposed algorithm can achieve a guaranteed model reference tracking performance and speed up the convergence rates of adjustable parameters, even when the plant parameters vary rapidly. Moreover, the model feedback strategy in the algorithm further contributes to the improvement in the control quality of the stability augmentation system in the case of low signal to noise ratios, mainly because the model feedback path is noise free. The effectiveness and superiority of the proposed algorithm are demonstrated through a series of tests. View Full-Text
Keywords: adaptive control; model feedback; stability augmentation; measurement noise; unmanned helicopter adaptive control; model feedback; stability augmentation; measurement noise; unmanned helicopter
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Sheng, S.; Sun, C. Design of a Stability Augmentation System for an Unmanned Helicopter Based on Adaptive Control Techniques. Appl. Sci. 2015, 5, 575-586.

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