飞机油箱余油量的神经网络动态测量

论述了采用人工神经网络对飞机油箱燃油余量进行动态测量的方法。首先建立了飞机油箱余油动态测量的神经网络模型 ,然后讨论了该模型在使用中的有关问题解决方法 ,最后给出了一例仿真结果。     

非线性热传导逆问题的表面热流辨识方法

当材料的热物性参数随温度变化时,其内部的热传导方程是一非线性偏微分方程,对应的热传导逆问题称为非线性热传导逆问题。本文建立了非线性热传导逆问题的两种表面热流辨识方法:顺序函数法和共轭梯度法,介绍了这两种辨识方法的基本思想和具体算法推导,并针对典型算例进行了仿真辨识,结果表明:两种辨识方法虽然在算法构造、计算效率方面存在一定的差异,但都能给出较好的辨识结果,并且算法受测量噪声的影响较小,具有较好的鲁棒性。     

具有时延的漂浮基空间机器人基于泰勒级数预测、逼近的改进非线性反馈控制

 探讨了本体位置与姿态均不受控的漂浮基空间机器人在时间延迟(简称时延)情况下惯性空间轨迹跟踪的控制问题.利用拉格朗日方法并结合系统动量守恒关系,分析、建立了漂浮基空间机器人完全能控形式的系统动力学模型及运动Jacobi关系.以此为基础,针对系统存在时延的情况,利用泰勒级数预测、逼近的方法,建立了适用于时延情况下控制系统设计的数学模型.利用该模型,提出了一种空间机器人在时延情况下的改进非线性反馈控制方案.然后运用Lyapunov第二类方法,结合范数以及图形分析的方法证明了在时延情况下整个闭环控制系统的渐近稳定性.文中提到的控制方案能够有效地克服系统存在时延的影响,控制漂浮基空间机器人末端爪手跟踪惯性空间的期望轨迹.系统数值仿真结果证明了上述控制方案的有效性与精确性.     

非线性谐波法在对转压气机中的校检分析

以双级对转压气机为研究对象,对新型非定常模拟方法——非线性谐波(NLH)法进行了不同阶数下的校检,并与常规非定常模拟方法在宏观性能指标和微观流场结构上进行对比,分析了对转压气机转子独特的动-动干涉现象.研究结果表明:非线性谐波方法可在时均框架内有效计及非定常现象,对于该对转压气机,3阶谐波已能在计算成本和计算精度间获得最佳折衷,具备良好的工程应用前景.      

两种湍流模型及其可压缩修正在高超压缩拐角中的评估(英文)

采用在高阶精度差分格式对SA湍流模型和SST湍流模型及相应的可压缩修正模型在高超拐角流中进行了评估。可压缩修正方式考虑了密度梯度、压力膨胀和湍流马赫数等方法。为了减小数值误差与模型误差之间的混淆,控制方程的对流项采用了5阶精度的加权紧致非线性格式(WCNS-E-5),粘性项采用了一种半结点/结点交错的4阶中心格式。通过对马赫数为9.22的15度拐角和34度拐角湍流的模拟,考察了原始湍流模型及其修正模型的效果。计算表明:原始SST模型对高超拐角湍流的预测比原始SA模型准确,这种准确主要体现在对分离区预测、再附点附近压力和热流峰值预测上。通过混合采用Catris和Shur等的方法对 SA模型进行可压缩修正可以大大改进模拟效果。在SST模型的可压缩修正方法中,Catris的修正方法最好;考虑压力膨胀修正后得到的分离区远远偏大,比本原始SST模型更差;考虑湍流马赫数的修正方法得到的分离区偏小。本文还给了部分低阶格式的计算结果,高阶格式与低阶格式相比,对分离区大小、再附点附近的压力和热流峰值等的预测准度有所改进。     

A Tracking Filter in Spherical Coordinates Enhanced by De-noising of Converted Doppler Measurements

Tracking problem in spherical coordinates with range rate (Doppler) measurements, which would have errors correlated to the range measurement errors, is investigated in this paper. The converted Doppler measurements, constructed by the product of the Doppler measurements and range measurements, are used to replace the original Doppler measurements. A de-noising method based on an unbiased Kalman filter (KF) is proposed to reduce the converted Doppler measurement errors before updating the target states for the constant velocity (CV) model. The states from the de-noising filter are then combined with the Cartesian states from the converted measurement Kalman filter (CMKF) to produce final state estimates. The nonlinearity of the de-noising filter states are handled by expanding them around the Cartesian states from the CMKF in a Taylor series up to the second order term. In the mean time, the correlation between the two filters caused by the common range measurements is handled by a minimum mean squared error (MMSE) estimation-based method. These result in a new tracking filter, CMDN-EKF2. Monte Carlo simulations demonstrate that the proposed tracking filter can provide efficient and robust performance with a modest computational cost.     

Robust Control for Static Loading of Electro-hydraulic Load Simulator with Friction Compensation

Load simulator is a key test equipment for aircraft actuation systems in hardware-in-the-loop-simulation. Static loading is an essential function of the load simulator and widely used in the static/dynamic stiffness test of aircraft actuation systems. The tracking performance of the static loading is studied in this paper. Firstly, the nonlinear mathematical models of the hydraulic load simulator are derived, and the feedback linearization method is employed to construct a feed-forward controller to improve the force tracking performance. Considering the effect of the friction, a LuGre model based friction compensation is synthesized, in which the unmeasurable state is estimated by a dual state observer via a controlled learning mechanism to guarantee that the estimation is bounded. The modeling errors are attenuated by a well-designed robust controller with a control accuracy measured by a design parameter. Employing the dual state observer is to capture the different effects of the unmeasured state and hence can improve the friction compensation accuracy. The tracking performance is summarized by a derived theorem. Experimental results are also obtained to verify the high performance nature of the proposed control strategy.     

基于离子电流的爆震波压力非线性模型

为了实现爆震波压力的软测量,依据碳氢焰离子形成原理及爆震波高速传播的特点,在分析爆震波离子形成机理的基础上,根据爆震波离子电流与压力信号的相似性,提出基于离子电流的爆震波压力非线性模型建模思路。采用RBF网络建立爆震波非线性模型,并给出网络结构、样本选取原则和预处理方法。开展了单次脉冲爆震试验,利用试验数据建立该压力非线性模型,并通过试验数据和模型输出的对比校核模型的有效性和准确性。     

多级轴流压气机噪声源特性分析

某型轴流式压气机高压一级转子叶片出现大幅振动,并且振动频率不是转频的整阶次,即叶片非同步振动。对叶片的激励可能来源于气动和非定常流场,就包含了声场。为了研究叶片出现非同步振动时的压气机声场,在压气机机匣内壁上对压气机噪声进行测量。通过分析得知,噪声信号特征频率的出现与叶片非同步振动同时出现,主要影响因素有压气机转速、结构调节状态等参数。     

光纤陀螺反馈通道非线性误差试验仿真分析

针对光纤陀螺输出中存在死区等问题,对光纤陀螺反馈通道的非线性特性进行了研究,通过理论、实验与仿真分析相结合的方式,得出不同深度的方波调制下非线性误差对陀螺输出精度的影响。理论分析表明,方波的调制深度越深,非线性误差对输出的影响就越剧烈,并给出了非线性误差公式。当输入角速率较小时,这种误差就会较容易地观测出。因而采取设计实验与仿真的方法验证上述结论的正确性,并得到了一致的结论。