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

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 guaran...

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Bibliographic Details
Published inApplied sciences Vol. 5; no. 3; pp. 575 - 586
Main Authors Sheng, Shouzhao, Sun, Chenwu
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2015
Subjects
adaptive control
Algorithms
Augmentation systems
Control algorithms
Control theory
Design
Feedback
Feedback control
Helicopter control
Helicopters
measurement noise
model feedback
Noise
Parameters
Stability augmentation
Systems design
unmanned helicopter
Unmanned helicopters
Velocity
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app5030575