基于特征识别的自适应跟踪微分器在高空测试设备信号处理中的应用

IF 2.3 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Louyue Zhang, Hehong Zhang, Chao Zhai, Gaoxi Xiao, Xi Wang, Zhihong Dan, Duoqi Shi
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引用次数: 0

摘要

环境压力是保证航空发动机在高空试验设施中进行稳定、高效试验的重要指标。由于复杂多变的测试环境和底层硬件存储空间的限制,处理压力信号获取其滤波和微分信号参与反馈控制器的设计变得困难。微分器算法的积分步长通常与采样周期密切相关,影响滤波和微分的性能。本文提出了一种基于特征识别的自适应算法,通过实时自适应选择合适的积分步长来实现跟踪微分器(TD)。特别地,将采样信号转换成图像并通过所提出的特征识别算法进行分析。该算法可以将实时信号转化为系统动态特性的指标。仿真和实验结果表明,与原TD相比,本文提出的自适应TD算法能有效提高滤波和微分性能,满足HAT设备的信号处理要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Adaptive Tracking Differentiator with Feature Recognition for Signal Processing in High-Altitude Test Facilities

Adaptive Tracking Differentiator with Feature Recognition for Signal Processing in High-Altitude Test Facilities

Adaptive Tracking Differentiator with Feature Recognition for Signal Processing in High-Altitude Test Facilities

Adaptive Tracking Differentiator with Feature Recognition for Signal Processing in High-Altitude Test Facilities

Adaptive Tracking Differentiator with Feature Recognition for Signal Processing in High-Altitude Test Facilities

The ambient pressure is an important indicator for ensuring stable and efficient testing of the aeroengine in the high-altitude test (HAT) facilities. With the complex and quickly changing test environment and storage limitation of the underlying hardware, processing the pressure signals to access its filtering and differentiating signals to participate in designing feedback controller becomes difficult. The integration step of a differentiator algorithm, which is typically closely related to the sampling period, affects the performances of filtering and differentiating. In this work, a feature recognition based adaptive algorithm is proposed to enable the tracking differentiator (TD) by adaptively selecting an appropriate integration step in real-time. In particular, the sampled signals are transformed into images and analyzed by a proposed feature recognition algorithm. This algorithm can transform the real-time signals into an indice of system's dynamic characteristic. Simulation and experiment results show that the proposed adaptive TD algorithm can effectively improve the filtering and differentiating performances compared with the original TD, and meet the signal processing requirements of HAT facilities.

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来源期刊
IET Control Theory and Applications
IET Control Theory and Applications 工程技术-工程:电子与电气
CiteScore
5.70
自引率
7.70%
发文量
167
审稿时长
5.1 months
期刊介绍: IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods. Among the topics of interest are system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation. The scope encompasses technological, economic, physiological (biomedical) and other systems, including man-machine interfaces. Most of the papers published deal with original work from industrial and government laboratories and universities, but subject reviews and tutorial expositions of current methods are welcomed. Correspondence discussing published papers is also welcomed. Applications papers need not necessarily involve new theory. Papers which describe new realisations of established methods, or control techniques applied in a novel situation, or practical studies which compare various designs, would be of interest. Of particular value are theoretical papers which discuss the applicability of new work or applications which engender new theoretical applications.
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