Implementation of a LabVIEW-based automated wind tunnel instrumentation system

C. Singh, K. Poddar
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引用次数: 14

Abstract

Wind tunnel testing is fundamental for understanding the aerodynamic response and performance of space/road vehicles during the design process. The measurement and control applications for wind tunnel testing typically include the wind speed measurement and control; static and dynamic force measurement, pressure profile measurement; and position and motion control for orienting the model with respect to the wind direction. These applications are repetitive as well as time consuming hence needs to be automated. This paper presents the implementation aspects of a reliable and accurate LabVIEW-based automated wind tunnel instrumentation system. The implemented system permits the aerodynamic measurements to be performed efficiently and without intervention. Most importantly, it relieves the operator of the usual responsibility for manually controlling the position and orientation of the model as well as the need to manually set the desired wind speed for the test. The system has been implemented at National Wind Tunnel Facility, IIT Kanpur using virtual instrumentation technique and PXI architecture which enhances the productivity and reduces the cost through easy-to-integrate LabVIEW-based application software and PXI modular hardware. However, the system presented in this paper has been configured for automated wind tunnel testing, but can also be easily configured to perform various test and measurement functions automatically for aerospace/military, bio-medical, process control, and robotics applications.
实现一个基于labview的自动化风洞仪器系统
在设计过程中,风洞测试是了解空间/道路车辆气动响应和性能的基础。风洞测试的测控应用主要包括风速的测量和控制;静、动态力测量、压力剖面测量;以及用于使模型相对于风向定向的位置和运动控制。这些应用程序重复且耗时,因此需要自动化。本文介绍了基于labview的可靠、准确的自动化风洞仪器系统的实现方法。所实施的系统可以在没有干预的情况下高效地进行气动测量。最重要的是,它减轻了操作员通常手动控制模型位置和方向的责任,以及手动设置测试所需的风速的需要。该系统已在印度理工学院坎普尔国家风洞研究所实施,采用虚拟仪器技术和PXI架构,通过易于集成的基于labview的应用软件和PXI模块化硬件,提高了生产率,降低了成本。然而,本文提出的系统已经配置为自动化风洞测试,但也可以很容易地配置为自动执行各种测试和测量功能,用于航空航天/军事,生物医学,过程控制和机器人应用。
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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