边界条件对变循环发动机多维度仿真模型的影响研究

为了研究变循环发动机（Variable Cycle Engine,VCE）多维度仿真模型中整机零维仿真模型与核心机驱动风扇级（Core Driven Fan Stage,CDFS）三维仿真模型之间边界参数传递处理方式对计算结果的影响,建立了CDFS和前可变面积涵道引射器（Forward Variable Area Bypass Injector,FVABI）耦合三维仿真模型及CDFS单部件三维仿真模型,对比了CDFS工作特性及出口区域静压分布的差异,并采用迭代耦合方法将CDFS工作特性耦合于循环参数分析,研究了CDFS出口静压分布差异对VCE多维度仿真模型计算结果的影响。结果表明,耦合仿真模型中CDFS稳定工作范围随着内涵出口静压变化而变化,其数值喘振点的换算流量与CDFS单部件仿真模型存在明显的差异。FVABI部件的存在降低了内涵出口及FVABI出口的平均静压边界条件对CDFS出口区域静压分布的影响,而且CDFS内、外涵流量分配会显著影响CDFS出口区域的静压分布。因此,由耦合仿真模型得到的CDFS出口区域静压分布更为真实、合理。超声速巡航工况下,相较于在CDFS出口使用平均静压边界条件,VCE多维度仿真模型在使用真实静压分布之后,CDFS内涵压比和等熵效率基本不变,CDFS外涵压比和等熵效率分别降低了0.86%和2.27%,导致VCE推力升高了0.41%,且迭代次数大幅降低。     

Concurrent image-based visual servoing with adaptive zooming for non-cooperative rendezvous maneuvers

An image-based servo controller for the guidance of a spacecraft during non-cooperative rendezvous is presented in this paper. The controller directly utilizes the visual features from image frames of a target spacecraft for computing both attitude and orbital maneuvers concurrently. The utilization of adaptive optics, such as zooming cameras, is also addressed through developing an invariant-image servo controller. The controller allows for performing rendezvous maneuvers independently from the adjustments of the camera focal length, improving the performance and versatility of maneuvers. The stability of the proposed control scheme is proven analytically in the invariant space, and its viability is explored through numerical simulations.     

部件三维仿真模型与发动机循环参数分析的耦合方法研究

为了将基于部件三维仿真模型获取的部件工作特性耦合于发动机循环参数分析、提高整机性能预估的可信度,本文提出了改进完全耦合方法,结合核心机驱动风扇级(Core Driven Fan Stage,CDFS)三维仿真模型和变循环发动机(Variable Cycle Engine,VCE)零维仿真模型,使用迭代耦合和改进完全耦合方法建立了VCE多维度仿真模型,研究了修正因子计算方法及边界参数松弛处理方法对VCE多维度仿真模型的影响,对比了迭代耦合与改进完全耦合方法的差异。结果表明,采用改进完全耦合方法时,直接将基于部件高保真度仿真模型得到的压比和等熵效率应用于发动机循环参数分析,可避免非线性方程组线性化过程对部件高保真度仿真模型的重复调用,同时计算过程不依赖于部件通用特性图。采用优化方法计算修正因子或者对边界参数进行松弛处理均可以抑制改进完全耦合方法中迭代残差的震荡,加速收敛。改进完全耦合方法与迭代耦合方法计算结果无明显差异,且在使用优化方法计算修正因子时收敛速度基本一致。超声速巡航状态下,与VCE零维仿真模型的计算结果相比,多维度仿真模型中CDFS压比升高了2.73%,由此导致VCE推力降低了3.48%。     

A novel multi-fidelity coupled simulation method for flow systems

For the numerical simulation of flow systems with various complex components, the traditional one-dimensional (1D) network method has its comparative advantage in time consuming and the CFD method has its absolute advantage in the detailed flow capturing. The proper coupling of the advantages of different dimensional methods can strike balance well between time cost and accuracy and then significantly decrease the whole design cycle for the flow systems in modern machines. A novel multi-fidelity coupled simulation method with numerical zooming is developed for flow systems. This method focuses on the integration of one-, two-and three-dimensional codes for various components. Coupled iterative process for the different dimensional simulation cycles of sub-systems is performed until the concerned flow variables of the whole system achieve convergence. Numerical zooming is employed to update boundary data of components with different dimen-sionalities. Based on this method, a highly automatic, multi-discipline computing environment with integrated zooming is developed. The numerical results of Y-Junction and the air system of a jet engine are presented to verify the solution method. They indicate that this type of multi-fidelity simulationmethod can greatly improve the prediction capability for the flow systems.