Path Tracking Control of Fixed-Wing Unmanned Aerial Vehicle Based on Modified Supertwisting Algorithm

Path Tracking Control of Fixed-Wing Unmanned Aerial Vehicle Based on Modified Supertwisting Algorithm

This paper focuses on the issues of low path tracking precision and weak disturbance rejection capability in fixed-wing unmanned aerial vehicle (UAV). This study designs a path tracking controller that combines the radial basis function (RBF) neural network and the supertwisting sliding mode control...

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Bibliographic Details
Main Authors: Chenbo Zhao, Luji Guo, Qichen Yan, Zhe Chang, Pengyun Chen
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2024/5941107
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