Application of a PCA-DBN-based surrogate model to robust aerodynamic design optimization

An efficient method employing a Principal Component Analysis (PCA)-Deep Belief Network (DBN)-based surrogate model is developed for robust aerodynamic design optimization in this study. In order to reduce the number of design variables for aerodynamic optimizations, the PCA technique is implemented to the geometric parameters obtained by parameterization method. For the purpose of predicting aerodynamic parameters, the DBN model is established with the reduced design variables as input and the aerodynamic parameters as output, and it is trained using the k-step contrastive divergence algorithm. The established PCA-DBN-based surrogate model is validated through predicting lift-to-drag ratios of a set of airfoils, and the results indicate that the PCA-DBN-based surrogate model is reliable and obtains more accurate predictions than three other surrogate models. Then the efficient optimization method is established by embedding the PCA-DBN-based surrogate model into an improved Particle Swarm Optimization (PSO) framework, and applied to the robust aerodynamic design optimizations of Natural Laminar Flow (NLF) airfoil and transonic wing. The optimization results indicate that the PCA-DBN-based surrogate model works very well as a prediction model in the robust optimization processes of both NLF airfoil and transonic wing. By employing the PCA-DBN-based surrogate model, the developed efficient method improves the optimization efficiency obviously.     

某型电火工品弹药电磁环境下使用安全性分析

某型弹药中装配某电火工品,分析该型弹药在舰船复杂电磁环境中的安全性具有重要意义。在分析电磁环境对电火工品作用机理的基础上,采用 CST电磁仿真软件建立等效天线模型、弹药壳体模型;按照该型弹药应用环境和相关国军标的要求设置仿真参数,得出等效天线增益和壳体屏蔽效能;计算出不同频率下在该型弹药内耦合的射频功率,研究电磁环境对该型弹药的安全性影响。仿真分析结果表明:该型弹药所配用的电火工品在 1.3~4.3 GHz频段内安全性无法保证;该型弹药在 L波段和 Ku波段存在安全性风险。     

Spatial transformation of general sampling-aliasing frequency region for rotating-blade parameter identification with emphasis on single-probe blade tip-timing measurement

Blade-health monitoring is intensely required for turbomachinery because of the high failure risk of rotating blades. Blade-Tip Timing (BTT) is considered as the most promising technique for operational blade-vibration monitoring, which obtains the parameters that characterize the blade condition from recorded signals. However, its application is hindered by severe undersampling and stringent probe layouts. An inappropriate probe layout can make most of the existing methods invalid or inaccurate. Additionally, a general conflict arises between the allowed and required layouts because of arrangement restrictions. For the sake of economy and safety, parameter identification based on fewer probes has been preferred by users. In this work, a spatial-transformation-based method for parameter identification is proposed based on a single-probe BTT measurement. To present the general Sampling-Aliasing Frequency (SAFE) map definition, the traditional time–frequency analysis methods are extended to a time-sampling frequency. Then, a SAFE map is projected onto a parameter space using spatial transformation to extract the slope and intercept parameters, which can be physically interpreted as an engine order and a natural frequency using coordinate transformation. Finally, the effectiveness and robustness of the proposed method are verified by simulations and experiments under uniformly and nonuniformly variable speed conditions.     

Passive localization by a single moving observer using TOA only with unknown SRI: Observability analysis and algorithm

Passive localization by a single moving observer using Time of Arrival (TOA) only with an unknown Signal Repetition Interval (SRI) is investigated in this paper. Observability analysis is performed first. The observability condition for uniquely determining the emitter position and SRI is derived. The conditional Cramer-Rao Lower Bound (CRLB) is also analyzed. It is found that the ambiguity of the SRI integer of the first TOA does not affect the theoretical estimation precision of the emitter position and SRI. A Reference-Fixed Differential TOA (RFDTOA)-based Iterative Maximum Likelihood Estimator (IMLE) is proposed, which only needs O(M) computational operations. Theoretical analysis and simulation results show that the Mean Square Error (MSE) of the proposed algorithm could attain the CRLB with moderate Gaussian measurement noise.     

飞机锁类机构性能退化可靠性分析方法综述

随着航空航天装备的快速发展,对飞行器装备的可靠性要求逐渐提高,飞机锁类机构的可靠性对飞机起降的安全至关重要。以飞机舱门锁机构为研究对象,首先通过文献调研了大量舱门锁机构并分析了锁机构的特点和失效模式,阐述了锁机构的工作原理。其次综述了锁机构失效机理建模、机构渐变损伤的研究现状以及目前存在的问题,分析了国内外有关锁机构可靠性的研究现状;并针对多连杆机构可靠性分析和锁机构可靠性分析进行了分类梳理。最后对锁机构的可靠性分析研究思路进行总结,并对目前复杂锁机构的可靠性分析存在的问题及其研究趋势进行了展望。     

驻涡燃烧室前钝体燃料喷射性能数值分析

为研究驻涡燃烧室在前钝体燃料喷射状况下的燃烧性能,采用3维数值仿真模拟方法,对驻涡燃烧室前钝体燃料喷射 状况下的燃烧效率及燃烧室性能与无前钝体燃料喷射状况下的燃烧性能进行了对比分析,并对驻涡燃烧室的冷流以及燃烧状态 下的燃烧室性能进行了系统研究。燃烧室温度分布表明：前钝体顶部燃料喷射在0.2~0.7的喷射系数范围内,缩短了燃烧室火焰 长度,提高了燃烧室在相同轴向长度下的燃烧效率,使燃烧室更加紧凑;驻涡燃烧室前钝体顶部燃料喷射孔的孔径在一定范围内 的变化对燃烧室的燃烧效率、出口温度分布系数以及总压损失影响较小。     

神经网络模型在压气机通流特性分析中的应用

为了解决通流特性分析程序中原始模型对压气机性能预测精度不足的问题,提高压气机通流特性分析过程的可靠性,基于对大量多圆弧叶栅的数值模拟结果建立了压气机叶栅性能数据库,并以该数据库为依托,采用神经网络建模方法建立了压气机叶栅基准损失系数和基准落后角模型。结果显示:两模型对叶栅基准损失系数和基准落后角的预测精度均满足工程应用要求,其精度分别为±0.002和±1°。在对采用神经网络模型的通流特性分析程序校验过程中发现,其无论对压气机整机性能还是对流动细节的预测精度上都获得了显著提高,尤其是在主流区。此外从压气机整体特性上看,基准损失系数和基准落后角精度的提高对非设计工况损失系数和落后角的预测精度影响是积极的。      

Structurally coupled characteristics of rotor blade using new rigid-flexible dynamic model based on geometrically exact formulation

In rotor dynamics, blades are normally modelled as a slender beam, in which elastic deformations are coupled with each other. To identify these coupling effects, new rigid-flexible structural model for helicopter rotor system is proposed in this paper. Finite rotations of the whole blade(on flapwise, lagwise, and torsional) are described as three global rigid degrees of freedom.The nonlinear deformation geometrics of the beam is built on geometrically exact beam theory.New expressions for blade ...     

Stability analysis of robotic longitudinal-torsional composite ultrasonic milling

Currently, industrial robots are considered as an alternative towards traditional machine tools. Especially for the large-scale parts milling, robotic flexibility and low cost make it possess the irreplaceability. However, the milling chatter caused by its weak rigidity hampers robotic application and promotion severely in aviation industry. Rotary ultrasonic milling (RUM) technology with one-dimensional axial vibration has been proven and approved on avoiding robotic chatter. Based on this, the research of project team demonstrates that longitudinal-torsional composite ultrasonic milling (CUM-LT) involving separation characteristic has a greater advantage than RUM in terms of chatter suppression. Thereby, the CUM-LT as a new means is applied to avoid processing vibration of robotic milling system. And its influence mechanism on stability improvement of weak stiffness processing system is clarified. Meanwhile, the approaches to strengthen separation effect are provided innovatively. Moreover, a new analysis method of robotic CUM-LT (RCUM-LT) stability is proposed on the basis of ultrasonic function angles. The simulation and experimental results indicate that compared with robotic RUM (RRUM), stability regions of separated RCUM-LT (SRCUM-LT) and unseparated RCUM-LT (URCUM-LT) are improved by 124.42% and 39.20%, respectively. The addition of torsional ultrasonic energy has a wonderful effect on the milling chatter suppression of low stiffness robots.     

一种便携式机载数据采集设备遥测检测仪设计与实现

飞机外场试验和飞行训练的需求使得采集系统成为飞机的重要设备。为检测外场环境下某型飞机上 的采集系统的工作状态,本文以便携式计算机为硬件基础,以Qt 为软件平台,针对某型采集系统设计了地面 遥测检测专用设备,实现了多类数据的实时解析。检测结果表明,该设备具有数据处理能力强、安全可靠性好、 易维护等优点,能够为某型飞机上的某型采集系统检测提供工程保障。