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Robust Stability of Uncertain Sampled Data Time Delay Systems with Application to Turbine Engine Control

机译:不确定采样数据时滞系统的鲁棒稳定性及其在涡轮发动机控制中的应用

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Future aircraft control systems will be based on distributed engine control methodology since it provides many advantages, but a network in the control loop gives rise to communication constraints. Secondly, turbine engine components undergo deterioration due to constant usage and the stability of such deteriorated turbine engine systems is significantly affected due to these communication constraints. Hence, robust stability analysis is essential in reconfiguring the operating life cycles of turbine engine systems in case of distributed control implementation. In this paper bounds are presented to ensure stability of uncertain sampled data time delay systems and apply them to the deteriorated turbine engine case. The formulation of the proposed bounds is novel since till now the problem of obtaining bounds taking the exponential structure of the perturbation, sampling period and the communication constraints into consideration has rarely been tackled in the literature. Discrete-time Lyapunov stability criterion is used to obtain reasonably sufficient stability margins. Linearized state space models obtained from the high fidelity turbofan system developed by NASA, known as CMAPSS-40K (Commercial Modular Aero Propulsion System Simulation), are used to show the significance of the problem formulation and to verify and validate the proposed robust stability bounds.
机译:未来的飞机控制系统将基于分布式发动机控制方法,因为它具有许多优点,但是控制回路中的网络会引起通信限制。其次,由于不断使用涡轮发动机部件而使它们劣化,并且由于这些通信限制,这种劣化的涡轮发动机系统的稳定性受到显着影响。因此,在采用分布式控制的情况下,鲁棒的稳定性分析对于重新配置涡轮发动机系统的使用寿命至关重要。本文提出了边界,以确保不确定的采样数据时延系统的稳定性,并将其应用于恶化的涡轮发动机壳体。提出的界限的提出是新颖的,因为到目前为止,在文献中很少解决考虑扰动,采样周期和通信约束的指数结构来获得界限的问题。离散时间Lyapunov稳定性准则用于获得合理的足够的稳定性裕度。从美国国家航空航天局开发的高保真涡扇系统获得的线性状态空间模型,称为CMAPSS-40K(商业模块化航空推进系统仿真),用于显示问题公式的重要性并验证和验证所提出的鲁棒稳定性边界。

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