The minimal time detection algorithm of changes in control parameters and its application to flight systems

Proceedings of 1994 33rd IEEE Conference on Decision and Control Pub Date : 1994-12-14 DOI:10.1109/CDC.1994.411648

Sungwan Kim

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引用次数: 1

Abstract

There exists a significant interest in enhancing current flight systems so that they can reconfigure the controls to maintain adequate levels of performance even if there are complete failures in one or more of the actuators or sensors. A control system is designed such that it can autonomously achieve a high level goal, while its components, plant models and control laws are not completely defined, either because they were not known at the design time or because they changed unexpected due to random changes. So, system parameters should be tracked on-line to build a highly adaptive control system even though there exists a random change. For this purpose, a new performance index that the author is developing is the speed of adaptation-how quickly does the system determine that a change occurred? Therefore, a new, robust algorithm that is optimized to minimize the time delay in detecting a change for a fixed false alarm probability is proposed. Simulation results show that the algorithm works fairly well and one of distinguishing properties is that detection delay of the algorithm is superior to that of the Whiteness test.<>

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控制参数变化的最小时间检测算法及其在飞行系统中的应用

人们对增强当前的飞行系统非常感兴趣，这样他们就可以重新配置控制，以保持足够的性能水平，即使一个或多个执行器或传感器完全失效。控制系统的设计使其能够自主地实现高级目标，而其组件，工厂模型和控制律并没有完全定义，要么是因为它们在设计时不知道，要么是因为它们由于随机变化而发生意外变化。因此，即使存在随机变化，也需要对系统参数进行在线跟踪，以建立一个高度自适应的控制系统。为此，作者正在开发的一个新的性能指标是适应速度——系统确定变化发生的速度有多快?因此，提出了一种新的鲁棒算法，该算法经过优化，使检测固定虚警概率变化的时间延迟最小化。仿真结果表明，该算法具有较好的检测效果，其显著特征之一是检测延迟优于白度测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of 1994 33rd IEEE Conference on Decision and Control

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