AI 中文总结
针对高超声速滑翔飞行器模型不确定性下的飞行包线保护问题，提出自适应安全关键控制框架，通过输入端的CCRM自适应控制器和状态端的EBSF安全滤波器处理约束，仿真表明该框架能在控制输入受限及模型不确定时保持飞行包线约束并稳定跟踪。
AI 中文摘要
本文提出了一种用于高超声速滑翔飞行器（HGV）在模型不确定性下飞行包线保护（FEP）的自适应安全关键控制框架。所提出的架构通过两种互补但不同的机制处理输入和状态约束。在输入端，设计了具有校准闭环参考模型（CCRM）的自适应控制器，以适应幅值受限的控制输入和执行器饱和的影响。在此输入约束自适应控制架构的基础上，基于控制障碍函数（CBF）的基于误差的安全滤波器（EBSF）在状态端强制执行飞行包线状态约束。EBSF修改参考命令，并利用参考模型与不确定对象之间的测量失配在线调整允许的安全集，从而在瞬态自适应过程中保持前向不变性。对DLR通用高超声速滑翔飞行器2（GHGV - 2）的仿真结果表明，在幅值受限的控制输入下能实现稳定、高性能跟踪，同时在存在模型不确定性的情况下保持飞行包线约束。
英文摘要
This paper presents an adaptive safety-critical control framework for flight envelope protection (FEP) of hypersonic glide vehicles (HGVs) under model uncertainty. The proposed architecture treats input and state constraints through two complementary but distinct mechanisms. At the input end, an adaptive controller with a calibrated closed-loop reference model (CCRM) is designed to accommodate magnitude-limited control inputs and the effects of actuator saturation. Building on this input-constrained adaptive control architecture, flight envelope state constraints are enforced at the state end by an error-based safety filter (EBSF) based on control barrier functions (CBFs). The EBSF modifies the reference command and adapts the admissible safe set online using the measured mismatch between the reference model and the uncertain plant, thereby preserving forward invariance during transient adaptation. Simulation results for the DLR generic hypersonic glide vehicle 2 (GHGV-2) demonstrate stable, high-performance tracking under magnitude-limited control inputs while maintaining flight envelope constraints in the presence of model uncertainty.
