Synchronized altitude tracking control of multiple unmanned helicopters

Rongxin Cui, Shuzhi Sam Ge, Beibei Ren

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

In this paper, we consider the synchronized altitude tracking control for multiple helicopters, when the desired trajectory is only available to the leaders. By using the weighted average of the neighbors' states as the reference signal, the adaptive neural network (NN) tracking control is designed for each helicopter. It is shown that, the output tracking error of each helicopter converges to an adjustable neighborhood of origin under the proposed NN control, although some of them do not access the desired tracking trajectory directly. Simulation results are provided to demonstrate the effectiveness of the approach presented.

Original languageEnglish
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
Pages4433-4438
Number of pages6
StatePublished - 2010
Event2010 American Control Conference, ACC 2010 - Baltimore, MD, United States
Duration: Jun 30 2010Jul 2 2010

Publication series

NameProceedings of the 2010 American Control Conference, ACC 2010

Conference

Conference2010 American Control Conference, ACC 2010
CountryUnited States
CityBaltimore, MD
Period06/30/1007/2/10

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