针对无人机攻击系统设计自适应滑模控制，提升拦截精度。
Adaptive Twisting Sliding Control for Integrated Attack UAV's Autopilot and Guidance
- 基于零努力误差距离设计滑模面，融合飞行与目标相对运动模型。
- 在高非线性、扰动及目标突变下，拦截精度显著优于传统方法。
- 适合复杂对抗场景下的无人攻击机制导与飞控一体化设计。
本文研究了一种用于集成无人机飞控与制导系统的自适应滑模控制方法。首先，通过考虑无人机的横向动力学及其与潜在攻击目标的相对运动，推导出二维数学模型。接着，利用零努力误差距离构造滑模面。采用自适应扭曲滑模控制（ATSMC）算法应用于该集成系统。通过仿真与对比验证，结果表明，所提设计在高非线性、不确定性、干扰及目标运动突变条件下仍能保持优异的拦截精度，归功于其自适应策略。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。