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Close Formation Flight Control of Multi-UAVs via Fuzzy Logic Technique.

Authors :
Grimble, Michael J.
Johnson, Michael A.
Bai, Ying
Zhuang, Hanqi
Wang, Dali
Li, Yao
Li, Bin
Sun, Zhao
Weng, Liguo
Zhang, Ran
Song, David Y.
Source :
Advanced Fuzzy Logic Technologies in Industrial Applications; 2006, p237-247, 11p
Publication Year :
2006

Abstract

This chapter explored a new method to achieve close formation tracking control of multi-UAVs by applying fuzzy logic theory. The formation trajectory is achieved by the control of Wingman's heading velocity and heading angle while the lead UAV is maneuvering the given mission path. Since the values for specifying linguistic terms of the controller output for trailing UAV actually determine the shape of the input-output shape, they are selected as the main parameters for optimization. We have successfully used such a fuzzy controller to approximate the nonlinear system, which can be applied for the supervised learning. The method guarantees the desired tracking precision and also ensures smooth control action under system uncertainties and external disturbances. Simulation of leader-wingman formation geometry was conducted. Both theoretical studies and simulation results demonstrate that this control algorithm is simple and less sensitive to the flight aerodynamic model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9781846284687
Database :
Supplemental Index
Journal :
Advanced Fuzzy Logic Technologies in Industrial Applications
Publication Type :
Book
Accession number :
32938483
Full Text :
https://doi.org/10.1007/978-1-84628-469-4_16