Adaptive Twisting Sliding Control for Integrated Attack UAV's Autopilot and Guidance

Nguyen, Minh Tu, Hoang, Van Truong, Phung, Manh Duong, Doan, Van Hoa

arXiv.org Artificial Intelligence 

This paper investigates an adaptive sliding-mode control for an integrated UAV autopilot and guidance system. First, a two-dimensional mathematical model of the system is derived by considering the incorporated lateral dynamics and relative kinematics of the UAV and its potential target of attack. Then, a sliding surface is derived utilizing the zero-effort miss distance. An adaptive twisting sliding mode (ATSMC) algorithm is applied to the integrated system. Simulation and comparisons have been accomplished. The results show our proposed design performs well in interception precision, even with high nonlinearity, uncertainties, disturbances, and abrupt changes in the target's movement, thanks to the adaptation strategy.

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