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Model-Based FDI Applied to a Piezoelectric Active Vibration Suppression System for Smart Flexible Spacecraft

机译:基于模型的FDI应用于智能柔性宇宙飞船的压电主动振动抑制系统

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摘要

Fault Detection and Isolation (FDI) techniques have captured extensive interest and attention in modern autonomous systems; in particular, they are of foremost importance in space applications, due to their scientific relevance, cost and current inability of doing on-orbit maintenance of space systems. In this scenario, FDI strategies are required to counteract possible failure events that, if not properly handled, can reduce system performance or compromise the realization of the mission objectives. In this paper, a model-based FDI strategy is implemented onboard a satellite equipped with a very large mesh reflector on which a distributed network of smart actuators/sensors is mounted to actively counteract undesired elastic vibrations. In particular, the detection and isolation of a possible piezo-actuator failure occurring in the Active Vibration Control (AVC) system of the antenna is addressed by a bank of Unknown Input Observers (UIOs). The design of the proposed UIOs is derived by solving a Linear Matrix Inequality (LMI) problem, which provides the conditions for their existence, and it is based on the linearized 3D state-space model of the controlled spacecraft, under the assumption that all the uncertainties, exogenous disturbances and measurement noises are neglected. Furthermore, pole assignment in the sense of D-stability is integrated in the standard formulation of the UIO to guarantee an adequate transient behaviour of the observers. Finally, an extensive Monte Carlo simulation campaign is conducted to assess the effectiveness of the proposed FDI architecture and its robustness against modelling uncertainties and measurement noise.
机译:故障检测和隔离(FDI)技术在现代自治系统中捕获了广泛的兴趣和关注;特别是,由于他们的科学相关性,成本和时空维护空间系统的科学相关性,成本和目的,它们在太空应用中可能重要性。在这种情况下,外国直接投资策略需要抵消可能的失败事件,即如果没有正确处理,可以降低系统性能或危害使命目标的实现。在本文中,在卫星上实现了一种基于模型的FDI策略,该卫星配备有非常大的网格反射器,其上安装有智能致动器/传感器的分布式网络以主动抵消不期望的弹性振动。特别地,在天线的主动振动控制(AVC)系统中发生的可能压电致动器故障的检测和隔离由一组未知的输入观察者(UIO)寻址。通过求解线性矩阵不等式(LMI)问题来推导所提出的UIO的设计,这为其存在提供了条件,并且它基于受控航天器的线性化3D状态空间模型,在所有情况下不确定性,外源性扰动和测量噪声被忽略。此外,D-稳定性感的极值分配在UIO的标准配方中集成在UIO的标准配方中,以保证观察者的足够瞬态行为。最后,进行了广泛的蒙特卡罗仿真运动,以评估所提出的FDI架构的有效性及其鲁棒性,防止建模不确定性和测量噪声。

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