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

TL;DR

This paper presents an adaptive sliding-mode control approach for UAV autopilot and guidance, enhancing interception accuracy under nonlinearities and uncertainties through a novel ATSMC algorithm.

Contribution

It introduces an adaptive twisting sliding mode control method for integrated UAV autopilot and guidance, improving robustness and precision in complex attack scenarios.

Findings

High interception accuracy achieved in simulations

Robust performance under nonlinearities and disturbances

Effective adaptation to target movement changes

Abstract

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.