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

2025-01-17

AI Summary

Addressing the robust interception challenge of adversarial UAVs under complex environments and abrupt target maneuvers, this paper proposes an integrated guidance-and-control framework based on Adaptive Twisting-Structure Sliding Mode Control (ATSMC). Leveraging a two-dimensional coupled dynamics and relative kinematics model, we design a zero-effort miss–based sliding surface and pioneer the application of ATSMC to UAV integrated guidance-control architecture. The method requires no prior knowledge of target acceleration and simultaneously mitigates strong nonlinearities, model uncertainties, external disturbances, and sudden target direction changes. Simulation results demonstrate significantly improved interception accuracy, along with stable, rapid, and robust convergence even under high uncertainty and aggressive target maneuvers. This work establishes a novel paradigm for autonomous intelligent air combat interception.

Technology Category

• Intelligent Robots: Behavior Learning & Control
• Multiagent Systems: Adversarial Agents
• Machine Learning: Adversarial Learning & Robustness

Application Category

• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

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.

Problem

• Intelligent Flight Control
• Complex Environments
• Target Tracking

Innovation

• Adaptive Sliding Mode Control
• Intelligent Flight
• Drone Navigation