基于Chebyshev正交多项式滤波器实现HPA自适应预失真

在全数字正交调制体制下,推导了辨识模式和非辨识模式的无记忆非线性HPA预失真方法及其自适应算法。鉴于Chebyshev正交多项式具有逼近任意非线性函数的特点,提出基于Chebyshev正交多项式滤波器实现HPA的自适应预失真。仿真结果表明,该数字预失真方法补偿效果好,自适应能力强,性能稳定。     

存在记忆非线性效应的功率放大器自适应线性化仿真

文章对两种常用的描述功率放大器的记忆效应和非线性特征的模型——W—H模型和记忆多项式模型进行了自适应线性化仿真,采用AM／AM和AM／PM失真特性对由于功放特性不理想而引起的放大信号的振幅畸变及相位偏移进行描述,运用自适应预失真处理方法,进行记忆预失真的模拟,并用误差矢量值（EVM）衡量这种自适应预失真方法的效果。仿真结果表明,文中的自适应预失真方法对上述两种记忆功放模型具有较好的线性化效果。     

Is the North Atlantic Oscillation modulated by solar and lunar cycles? Some evidences from Hurst autocorrelation analysis

Several studies have suggested that the Sun and Moon cycles affect the Earth climatic dynamics. Nevertheless, there is a long-standing controversy whether solar variability and tides can significantly generate climate change, and how this may occur. Spectral analysis of climatic indices has provided only indirect evidences of the effects of solar–tidal periodicities in the Earth climate. This work addresses the issue by considering the dynamics of the daily North Atlantic Oscillation index over the period from 1950 to 2009. In contrast to previous studies, this work proposes that external cycles can be detected in the autocorrelation dynamics rather than in the raw North Atlantic Oscillation index series. Here, the R/S-scaling analysis is used to quantify, via the so-called Hurst exponent, the presence of autocorrelations along the studied years. Fourier analysis scan of the autocorrelation series thus show two prominent spectral components near (±3%) the lunar tidal 4.425 and the solar 11 years cycles. Intermediate spectral components near 6.4, 7.75 and 8.9 years are proposed to be, at least partially, a result of energy capture from internal mechanisms into cycles resulting from the nonlinear resonance of the fundamental solar–tidal cycles. The dominant effect of the solar variability is clarified by showing that in about 70% of the studied period the sunspot number and the Hurst exponent phases are synchronized, indicating that a higher solar activity enhances the North Atlantic Oscillation index predictability.     

解析求解非线性相对运动的最优重构问题

椭圆轨道相对运动模型的线性化导致其在大尺度相对运动应用中精度不能满足需求。针对任意椭圆轨道上的大尺度航天器编队最优重构问题,提出一种基于椭圆轨道非线性相对运动模型的近似解析求解方法。首先通过变分法建立了非线性最优重构问题的数学模型;然后采用摄动法,以偏近点角为积分变量求得了不含特殊积分的解析开环最优控制,有效地避免了真近点角域下最优控制解所含有的特殊积分。仿真验证了所求最优控制的有效性和优越性,结果表明在相对运动尺度较大时,相比基于椭圆轨道线性化模型的最优控制,在燃耗保持相近的情况下,所求非线性控制有效地降低了重构误差。     

Variational Bayesian Kalman filter using natural gradient

We propose a technique based on the natural gradient method for variational lower bound maximization for a variational Bayesian Kalman filter. The natural gradient approach is applied to the Kullback-Leibler divergence between the parameterized variational distribution and the posterior density of interest. Using a Gaussian assumption for the parametrized variational distribution, we obtain a closed-form iterative procedure for the Kullback-Leibler divergence minimization, producing estimates of...     

阻尼器-滑动轴承-转子系统的非谐调运动及突跳特性分析

挤压油膜阻尼器—滑动轴承—柔性转子系统是一类强的非线性动力系统,其中包含一些复杂的非线性现象,文中主要对系统的非谐调运动、突跳行为进行了理论分析。研究表明：系统存在二次Ｈｏｐｆ分岔,并导致准周期运动;存在重复的倍周期分岔,导致次谐运动;突跳是鞍—结分岔产生的结果。     

Prediction of nonlinear pilot-induced oscillation using an intelligent human pilot model

This paper proposes a method to predict nonlinear Pilot-Induced Oscillation (PIO) using an intelligent human pilot model. This method is based on a scalogram-based PIO metric, which uses wavelet transforms to analyze the nonlinear characteristics of a time-varying system. The intelligent human pilot model includes three modules: perception module, decision and adaptive module, and execution module. Intelligent and adaptive features, including a neural network receptor, fuzzy decision and adaptation, are also introduced into the human pilot model to describe the behavior of the human pilot accommodating the nonlinear events. Furthermore, an algorithm is proposed to describe the procedure of the PIO prediction method with nonlinear evaluation cases. The prediction results obtained by numerical simulation are compared with the assessments of flight test data to validate the utility of the method. The flight test data were generated in the evaluation of the Smart-Cue/Smart-Gain, which is capable of reducing the PIO tendencies considerably. The results show that the method can be applied to predict the nonlinear PIO events by human pilot model simulation.     

中纬度冬季低热层潮汐非线性相互作用的MF雷达观测

采用武汉(30°N,114°E)MF雷达在2001年冬季的风场观测数据研究中纬度低热层大气潮汐之间的二阶非线性相互作用.经向风场的Lomb-Scargle归一化振幅谱表明,周日、半日和8 h潮汐是中纬冬季中层顶区域占优势的大气扰动;此外6 h潮汐也清晰可见.双相干谱分析揭示大多数显著的双相干谱峰代表潮汐谐振分量之间的相位互相关或单个潮汐分量的自相关.对随时间变化的潮汐垂直波长的比较发现,实际观测的8h潮汐垂直波长与假定的由观测的24 h潮汐和12 h潮汐非线性相互作用产生的8 h潮汐的理论垂直波长具有明显的一致性.在94.0～98.0km高度范围,周日、半日和8h潮汐之间不仅存在明显的相位相关和垂直波数相关,且它们的振幅随时间变化也显示出振荡幅值相近、振荡相位同步或反相的相关性,表明它们之间已经发生了二阶非线性相互作用.但是在94.0 km以下,三个潮汐分量之间的各种相关性随高度的下降变得越来越弱,因此潮汐二阶相互作用更可能是一种局地和暂态的现象.      

高超声速飞行器控制技术研究进展与展望

针对一类包含可变构型在内的高超声速飞行器的难点,分析了工程应用需求,综述了几类典型的非线性控制方法的研究进展。首先针对高超声速飞行器的几类常见研究模型,总结了模型来源及特点;其次,以实际工程需求为出发点,分析了此类飞行器的控制难点及对于控制系统能力提出的需求;再者,总结了高超声速飞行器几种典型非线性控制及智能控制研究的基本情况和进展,并给出了各类控制方案的框架;最后,面向未来任务形式多样化、环境复杂化的飞行器控制,讨论了可以进一步研究的问题和方向。     

基于故障观测器的无人机直接自修复控制

提出一种基于故障观测器的无人机直接自修复控制。首先,根据系统本身存在的故障,设计了一个非线性故障观测器对其进行观测。其次,设计了一个快速终端滑模面和直接自修复控制器,将指数函数和符号函数引入到新型滑模面里。同时引入了自适应技术,对不确定的故障估计其上界。最后,通过对无人机进行了相应的仿真数值验证得出所提方法的有效性。