<p>Overcoming the impacts of model uncertainties and external disturbances is a common challenge in fixed-wing UAV control system design. This paper introduces a novel fixed-wing UAV attitude control framework that integrates Barrier Function Super-Twisting Control (BFSTC) with Single-loop Incremental Nonlinear Dynamic Inversion (SINDI). By leveraging SINDI to linearize second-order attitude dynamics, we apply a BFSTC strategy featuring an adaptive gain that dynamically responds to disturbance magnitudes. This integrated approach exhibits heightened robustness against internal and external disturbances compared to the standalone INDI or Sliding Mode Control (SMC) schemes, while simultaneously achieving faster response and reducing the parameter tuning burden. Additionally, we provide a rigorous stability analysis under the saturated control gain and offer systematic guidelines for barrier function parameter selection. Comprehensive validation through numerical simulations and real-world flight experiments confirms that the proposed method delivers exceptional tracking precision, robustness and adaptability across diverse flight paths and disturbance scenarios.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Integrated application of barrier function super-twisting control and single-loop incremental nonlinear dynamics inversion on fixed-wing target attitude tracking

  • Yifan Tu,
  • Linchang Lu,
  • Bo Liu,
  • Zihua Wen,
  • Changhong Wang

摘要

Overcoming the impacts of model uncertainties and external disturbances is a common challenge in fixed-wing UAV control system design. This paper introduces a novel fixed-wing UAV attitude control framework that integrates Barrier Function Super-Twisting Control (BFSTC) with Single-loop Incremental Nonlinear Dynamic Inversion (SINDI). By leveraging SINDI to linearize second-order attitude dynamics, we apply a BFSTC strategy featuring an adaptive gain that dynamically responds to disturbance magnitudes. This integrated approach exhibits heightened robustness against internal and external disturbances compared to the standalone INDI or Sliding Mode Control (SMC) schemes, while simultaneously achieving faster response and reducing the parameter tuning burden. Additionally, we provide a rigorous stability analysis under the saturated control gain and offer systematic guidelines for barrier function parameter selection. Comprehensive validation through numerical simulations and real-world flight experiments confirms that the proposed method delivers exceptional tracking precision, robustness and adaptability across diverse flight paths and disturbance scenarios.