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Finite-Time LPV Analysis of a Vision Based Landing System with Anti-Windup Augmentation

机译：防风增强的视觉基于升降系统的有限时间LPV分析

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In contrast to standard ILS-based landing control systems, vision-based strategies rely on specific measures that introduce non-linearities into the control laws. Moreover, during the landing phase high gains are often used to improve performances at the expense of stability which is then degraded. This is not much an issue since both final approach and flare segments are short-time maneuvers. However, high gains induce saturations which in turn lead to performances degradation. For these reasons, vision-based landing systems design and tuning require a specific attention which generally involves a time-consuming trial-and-error process. The latter could certainly be fasten and improved with the help of adapted analysis tools providing a reliable estimate of the finite-time performance level of the aforementioned saturated nonlinear closed-loop system. As observed in Biannic and Burlion (2017), it can be rewritten as a saturated Linear Parameter Varying (LPV) system for which many tools exist or can be extended. In this contribution, original discrete-time extensions are then proposed to characterize finite-time performance indexes for a vision-based landing system including an anti-windup device.
机译：与标准ILS为基础的着陆控制系统相比，基于视觉的策略依赖于将非线性引入控制法的具体措施。此外，在降落期期间，高增益通常用于改善稳定性的性能，然后劣化。这并不是一个问题，因为既有最终方法和耀斑段是短时间内运动。然而，高收益诱导饱和，其又导致性能降解。由于这些原因，基于视觉的着陆系统设计和调整需要特别的注意，这通常涉及耗时的试验和错误过程。借助于改进的分析工具，后者肯定可以紧固和改进，提供了对上述饱和非线性闭环系统的有限时间性能水平的可靠估计。如在Biannic和Burlion（2017）中所观察到的，它可以作为饱和线性参数变化（LPV）系统被重写，其中许多工具存在或可以扩展。在这一贡献中，提出了原始离散时间延伸，以表征用于包括防卷式设备的视觉的着陆系统的有限时间性能指标。

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