Selected work

Representative Papers

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

Jan 17, 2025

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.

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Path Planning for a UAV Swarm Using Formation Teaching-Learning-Based Optimization

Jan 16, 2025

This work addresses the coupled challenge of dynamically maintaining a desired geometric formation (e.g., triangular) while simultaneously achieving safe and efficient path planning for multi-UAV inspection missions. We formulate the problem as a multi-objective optimization subject to obstacle avoidance, communication connectivity, and formation-keeping constraints. To solve it, we propose an enhanced Teaching–Learning-Based Optimization (TLBO) algorithm incorporating differential mutation, elitist preservation, and a multi-subgroup cooperative update strategy—significantly improving solution feasibility, trajectory smoothness, and convergence speed. Simulation studies and real-world flight tests with three UAVs demonstrate that the algorithm consistently generates collision-free, communication-connected, and formation-accurate cooperative trajectories, enabling robust long-duration inspection in complex environments. The core contributions are: (i) a unified optimization framework jointly addressing formation fidelity, safety, and efficiency; and (ii) a tailored, enhanced TLBO solver specifically designed for multi-UAV path planning under stringent operational constraints.

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Recent publications

Latest Papers

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

Jan 17, 2025

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.

0 citationsRead paper

Path Planning for a UAV Swarm Using Formation Teaching-Learning-Based Optimization

Jan 16, 2025

This work addresses the coupled challenge of dynamically maintaining a desired geometric formation (e.g., triangular) while simultaneously achieving safe and efficient path planning for multi-UAV inspection missions. We formulate the problem as a multi-objective optimization subject to obstacle avoidance, communication connectivity, and formation-keeping constraints. To solve it, we propose an enhanced Teaching–Learning-Based Optimization (TLBO) algorithm incorporating differential mutation, elitist preservation, and a multi-subgroup cooperative update strategy—significantly improving solution feasibility, trajectory smoothness, and convergence speed. Simulation studies and real-world flight tests with three UAVs demonstrate that the algorithm consistently generates collision-free, communication-connected, and formation-accurate cooperative trajectories, enabling robust long-duration inspection in complex environments. The core contributions are: (i) a unified optimization framework jointly addressing formation fidelity, safety, and efficiency; and (ii) a tailored, enhanced TLBO solver specifically designed for multi-UAV path planning under stringent operational constraints.

0 citationsRead paper