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首页> 外文期刊>Journal of propulsion and power >Experimental Identification of Transient Dynamics for Supersonic Inlet Unstart
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Experimental Identification of Transient Dynamics for Supersonic Inlet Unstart

机译:超声速进气道启动瞬态动力学的实验识别

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摘要

Successful realization of dual-mode scramjet engines will require closed-loop control schemes to eliminate the occurrence of inlet unstart. An important step toward this goal is the development of dynamic models for shock system motion inside the inlet isolator under varying flow conditions. In this paper, shock motion models are developed based on fast-response pressure measurements made along the wall of the isolator (straight channel) downstream of a Mach 1.8 nozzle. The shock system can be perturbed by changing the stagnation pressure with an upstream valve and/or by changing the backpressure with a downstream flap. In particular, the shock's transient dynamics are modeled, which govern the unstart process and are induced by changing pressure-boundary conditions, by employing system identification techniques. The result is a partially nonlinear dynamic model that reveals the possibility of partitioning the nonlinear behavior from the linear dynamics with relative ease. A second dynamic model is then generated, where the nonlinear portion has been prespecified, leaving only the linear portion to be determined by system identification. The modeling and identification process specific to the experimental unstart data used are discussed and successful models are presented for both the full system identification and the partitioned model cases.
机译:成功实现双模超燃冲压发动机将需要闭环控制方案,以消除进气门未起动的情况。朝着这个目标迈出的重要一步是,在变化的流量条件下,为进气隔离器内部的冲击系统运动建立动态模型。在本文中,基于沿Mach 1.8喷嘴下游的隔离器(直通道)壁进行的快速响应压力测量,开发了冲击运动模型。通过使用上游阀改变停滞压力和/或通过下游阀瓣改变背压,可以对冲击系统进行扰动。特别是,采用系统识别技术对冲击的瞬态动力学进行建模,该瞬态动力学控制着未启动过程,并且是由压力边界条件的变化引起的。结果是部分非线性的动力学模型,揭示了相对容易地将非线性行为与线性动力学区分开的可能性。然后生成第二个动力学模型,其中已经预先指定了非线性部分,仅剩下线性部分需要通过系统识别来确定。讨论了针对所使用的实验未启动数据的建模和识别过程,并针对完整的系统识别和分区模型案例提供了成功的模型。

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  • 来源
    《Journal of propulsion and power》 |2014年第6期|1605-1612|共8页
  • 作者单位

    University of Texas at Austin, Austin, Texas 78712 ,Department of Aerospace Engineering and Engineering Mechanics, 1 University Station C0600;

    University of Texas at Austin, Austin, Texas 78712 ,Department of Aerospace Engineering and Engineering Mechanics, 1 University Station C0600;

    University of Texas at Austin, Austin, Texas 78712 ,Department of Aerospace Engineering and Engineering Mechanics, 1 University Station C0600;

    U.S. Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio 45433;

    Spectral Energies, LLC, Dayton, Ohio 45431;

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