飞控系统执行器模糊故障的鲁棒容错控制

以某型飞机为研究对象,对同时含有参数不确定性和执行器带有模糊故障的飞控系统,利用Ｒｉｃｃａｔｉ方程,融完整性,鲁棒性于一体,给出了状态反馈容错控制器的设计方法。并把此方法应用一某飞机纵向飞行容错控制中,仿真结果证了方法的有效性,为飞控系统的容错控制提供了一种有效的方法。     

MIMO系统模糊控制及其在飞行控制中的应用

提出了ＭＩＭＯ系统最优模糊控制规则自学习方法,并采用传统动态规划法确定出全局最优模糊控制规则,这些规则满足使模糊性能性能最小的要求,同时还讨论了规则的复杂性和工程实用性等基本问题。研究结果证明了该方法的正确性与实用性。     

Experiments in Adaptive Estimation of Unknown Binary Waveforms

A special-purpose adaptive machine is described which carries out estimation in real time of an unknown binary waveform which is perturbed with additive Gaussian noise. Unknown waveforms of over 103 samples in duration can be recovered. The unknown waveforms are of unknown epoch and can reappear at either random or periodic time intervals. The observed signal is received at moderate or low signal-to-noise ratios so that a single observation of the received data (even if one knew the precise signal arrival time) is not sufficient to provide a good estimate of the signal waveshape. Experimental results are described which show transient behavior waveform estimate. The transient behavior is expressed as the number of errors in the current estimate of the signal plotted vs. time. In a noisy environment, each ``learning' transient is a random time function. These learning transients are shown for several different signal-to-noise ratios and indicate the threshold noise levels for various types of initial states of the machine memory.     

Output of a Balanced Frequency Discriminator Driven by a Sine Wave and Gaussian Noise

The output of a realizable balanced frequency discriminator is calculated for an input consisting of a sine wave plus Gaussian noise. Explicit autocorrelation and power spectra are found for one practical embodiment of the discriminator for various input carrier-to-noise ratios, with the carrier tuned to center frequency and also off-center. The formulas also permit the calculation of the output for the case of a spectrum of noise slowly swept through the discriminator. Although qualitatively similar to results previously obtained with an ideal discriminator, substantial differences are also found. Measurements are made that closely verified the theoretical results. No limiting is assumed.     

大迎角非定常气动力建模与模型比较

应用系统识理论,以６００ 三角翼纵向俯仰运动为例,在频率域内建立了基于Ｆｏｕｒｉｅｒ变换法的非定常气动力数学模型及非线性代数模型,在时间域内建立了基于Ｆｏｕｒｉｅｒ反变换法及数据库法的阶跃函数模型。用大振幅非定常实验数据进行模型参数辨识。本文主要对Ｆｏｕｒｉｅｒ变换模型初值的选取进行讨论,并对所建立的几种数学模型进行比较。结果表明,基于Ｆｏｕｒｉｅｒ变换法的数学模型,有明确的表达式,拟合结果较好;非线性代数模型表达式简单,便于应用,但对于不同实验模型,表达式不同;基于Ｆｏｕｒｉｅｒ 反变换法的阶跃函数模型,表达式复杂,而且当时间趋于零时,计算误差较大;基于数据库法的阶跃函数模型没有明确表达式,但其精度较高,可以用于对其他模型结果的比较。     

Soho Observations of Density Fluctuations in Coronal Holes

In recent UVCS/SOHO White Light Channel (WLC) observations we found quasi-periodic variations in the polarized brightness (pB) in the polar coronal holes at heliocentric distances of 1.9 to 2.45 solar radii. The motivation for the observation is the 2.5D MHD model of solar wind acceleration by nonlinear waves, that predicts compressive fluctuations in coronal holes. In February 1998 we performed new observations using the UVCS/WLC in the coronal hole and obtained additional data. The new data corroborate our earlier findings with higher statistical significance. The new longer observations show that the power spectrum peaks in the 10–12 minute range. These timescales agree with EIT observations of brightness fluctuations in polar plumes. We performed preliminary LASCO/C2 observations in an effort to further establish the coronal origin of the fluctuations. This revised version was published online in June 2006 with corrections to the Cover Date.     

Radio observations of Venus and the interpretations

The radio observations of Venus are reviewed and compared with theoretical microwave spectra computed for a variety of models of the Venusian environment. The models considered are (a) a CO₂-N₂ atmosphere, (b) an atmosphere of dust (the aeolosphere model), and (c) a cloud model with various loss mechanisms in the cloud. The effect of polarization on the surface emissivity has been included in all the computations. It is shown how the radio observations place limits upon the acceptable models, for example, the density and size of dust particles required in the aeolosphere model. It is shown how some models place severe restrictions on radar observations at short centimeter wavelengths, thereby emphasizing the importance of such experiments. These same models show that the Mariner II observations can not be interpreted in terms of surface phenomena and provide a new interpretation for the microwave phase effect.This work was supported in part by the U.S. Army, Navy and Air Force under Contract DA36-039-AMC-03200(E); and in part by the National Aeronautics and Space Administration (Grants NsG-250-62 and NsG-419).