稳态等离子体推力器羽流仿真及其对微波的衰减和相移作用

为了评估稳态等离子体推力器（SPT）羽流对微波造成的衰减和相位变化,使用二维轴对称的PIC-DSMC方法,在空间及室压6mPa的真空舱两种环境下,计算了SPT-100羽流场中的电子分布。在此基础上,通过分析特征频率和计算衰减因子、相位常数,估算了2,4,8,12.5GHz共4个频率微波穿过羽流场时的衰减量和相移。8GHz和12.5GHz微波未发现明显的衰减,相移为10°～120°。2GHz和4GHz微波在喷口附近衰减量范围为10～50dB。仿真结果表明,C波段和S波段在SPT羽流中容易发生衰减,而X波段以上的高频微波衰减量很小,同时这几个波段微波均发生较大相移。真空舱内6mPa背压下对衰减量的预测仅略高于实际飞行情况,但微波相移会有较大误差。     

脉冲等离子体推力器羽流特性数值研究

以脉冲等离子体推力器羽流为研究对象,建立三维物理模型,简化并离散电子动量方程,运用单元粒子-直接模拟蒙特卡罗混合法模拟非稳态羽流流动.假定脉冲周期内推进剂粒子按正弦规律进入流场,分析流场中电势、电子、离子和原子数密度分布随着时间变化情况,并通过与已有实验数据的对比验证仿真模型.研究表明:模型能在垂直和平行于推力器极板的两个平面内预测等离子体羽流流场参数.该研究方法、结果对更深入研究脉冲等离子体推力器(PPT)羽流具有参考价值.      

Hall推力器羽流数值模拟

以稳态等离子体推力器(SPT)羽流流场为研究对象,基于直接蒙特卡罗模拟与粒子单元混合方法建立数值模型,模拟等离子体稳态流动,研究流场特性。将计算结果与实验数据相比较,并与同类推力器羽流参数进行比较,以保证仿真可靠性。研究表明,所建立的仿真模型能够较好地预测SPT羽流电子数密度和离子电流密度等参数。     

霍尔推力器通道宽度对电离特性的影响

为了研究霍尔推力器通道宽度对电离特性的影响,采用以数值模拟为主、实验验证为辅两种手段相结合的方式。所建立的数学模型是基于蒙特卡洛方法的二维完全动力学粒子模型,实验选择了与等离子体无接触的光谱诊断方法。计算和实验两方面的结果都发现随着宽度的增加,电子电离工质气体的速率增加,电离更加有效,而且电离区域变得集中的规律。通过进一步的计算发现,电离特性的明显差异和电子与壁面碰撞频率随宽度增加而减小,电子温度随之升高有着密切关系。电子温度升高一方面会对电离特性起到促进作用,另一方面也会使电离消耗的能量增加。由于稳态时的电子温度是由电子能量平衡机制决定的,因此对电子能量平衡方程进行深入分析之后发现,在研究通道宽度影响电离特性这一物理问题上,电子在壁面上的能量损失是决定电子温度的主导因素,而电离损失仅属于次要因素,宽度增加有利于改善推力器的电离特性。     

大惯量下电动伺服机构非线性特性与控制方法研究

针对高超声速飞行器非线性影响飞行姿态控制问题,分析了电动伺服机构中传动间隙、刚度、摩擦力矩等非线性因素的影响,并讨论了由间隙引起极限环的定义及产生条件。针对传动间隙引起的极限环振荡和较大惯量的翼面加剧振荡问题,建立了系统间隙极限环模型和非线性振动模型,并提出了间隙补偿器设计方法。重点研究了间隙、翼面转动惯量、刚度及干扰力对伺服控制系统的影响规律。通过在内环增加间隙补偿器的基础上,在外环引入速度、加速度负反馈设计方法,解决了大惯量舵面下控制系统抖动问题,仿真和试验结果证明了这一理论是正确的。     

Psychological, psychiatric, and interpersonal aspects of long-duration space missions

America's future in space calls for manned missions that are of long duration and increasing complexity. Under these conditions, psychological and interpersonal stressors will take on added importance in affecting the safely of the crew and the outcome of the mission. Through an analysis of reports from manned American and Soviet space missions and Earth-bound simulations, several psychological, psychiatric, and interpersonal issues can be identified that could affect the success of the space station and other long-duration space ventures. Psychological issues include sleep problems, alteration in time sense, demographic effects, career motivation, transcendent experiences, homesickness, and alteration in perceptual sensitivities. Psychiatric issues include anxiety, depression, and psychosis, psychosomatic symptoms, emotional problems related to the stage of the mission, and postflight personality changes. Interpersonal issues include interpersonal tension, decreased cohesiveness over time, need for privacy, and task vs emotional leadership. Steps can be taken to minimize the impact of these issues, both before and during the mission.     

导弹非线性自适应鲁棒控制系统设计

提出了一种基于全调节RBF神经网络的导弹非线性自适应鲁棒控制系统的设计方法，应用全调节RBF神经网络在线辨识系统中存在的不确定性，利用反演和鲁棒控制技术设计了导弹控制系统，成功地处理了非匹配不确定性，并在虚拟控制中引入了微分阻尼项，有效地改善了系统动态性能。最后，应用Lyapunov稳定性理论推导出RBF神经网络各参数的调节律，并证明了系统状态全局渐近收敛于原点的一个邻域，仿真结果验证了该设计方法的有效性和可行性。     

Parameterization and adaptive control of space robot systems

In space application, robot system are subject to unknown or unmodeled dynamics, for example, in the tasks of transporting an unknown payload or catching an unmodeled moving object. We discuss the parameterization problem in dynamic structure and adaptive control of a space robot system with an attitude-controlled base to which the robot is attached. We first derive the system kinematic and dynamic equations based on Lagrangian dynamics and the linear momentum conservation law. Based on the dynamic model developed, we discuss the problem of linear parameterization in term of dynamic parameters, and find that in joint space, the dynamics can be linearized by a set of combined dynamic parameters; however, in inertial space linear parameterization is impossible in general. Then we propose an adaptive control scheme in joint space, and present a simulation study to demonstrate its effectiveness and computational procedure. Because most takes are specified in inertial space instead of joint space, we discuss the issues associated to adaptive control in inertial space and identify two potential problem: unavailability of joint trajectory because the mapping from inertial space trajectory is dynamic-dependent and subject to uncertainty; and nonlinear parameterization in inertial space. We approach the problem by making use of the proposed joint space adaptive controller and updating the joint trajectory by the estimated dynamic parameters and given trajectory in inertial space     

电荷交换离子对栅极系统束流影响的数值研究

采用二维网格质点法(PIC)计算离子在离子发动机栅极系统中的运动, 通过在模型中添加离子和中性粒子电荷交换的Monte Carlo碰撞模块, 得到了电荷交换离子在栅极周围的分布及电荷交换离子的运动规律.计算结果表明:考虑电荷交换离子后, 屏栅极电流较不考虑电荷交换离子情况时增大了1.42%, 所受影响不大, 加速栅极电流由0增大到主束流电流的1.41%.模拟结果表明:加速栅极下游较远处产生的电荷交换离子, 是造成加速栅极下游面腐蚀及加速栅极电流的主要原因.      

Importance sampling for characterizing STAP detectors

This paper describes the development of adaptive importance sampling (IS) techniques for estimating false alarm probabilities of detectors that use space-time adaptive processing (STAP) algorithms. Fast simulation using IS methods has been notably successful in the study of conventional constant false alarm rate (CFAR) radar detectors, and in several other applications. The principal objectives here are to examine the viability of using these methods for STAP detectors, develop them into powerful analysis and design algorithms and, in the long term, use them for synthesizing novel detection structures. The adaptive matched filter (AMF) detector has been analyzed successfully using fast simulation. Of two biasing methods considered, one is implemented and shown to yield good results. The important problem of detector threshold determination is also addressed, with matching outcome. As an illustration of the power of these methods, two variants of the square-law AMF detector that are thought to be robust under heterogeneous clutter conditions have also been successfully investigated. These are the envelope-law and geometric-mean STAP detectors. Their CFAR property is established and performance evaluated. It turns out the variants have detection performances better than those of the AMF detector for training data contaminated by interferers. In summary, the work reported here paves the way for development of advanced estimation techniques that can facilitate design of powerful and robust detection algorithms     

有输入未建模动态的导弹鲁棒控制器设计

在导弹系统俯仰通道中存在输入未建模动态情况下，提出了一种基于RBF神经网络和反演控制技术的非线性鲁棒控制器的设计方法。首先应用两个RBF神经网络对输入未建模动态设计了神经网络逆补偿器．然后利用反演控制技术设计了导弹非线性控制器．最后应用Lyapunov稳定性理论推导出RBF神经网络权重矢量调节律，证明了系统的所有信号均有界且全局指数收敛至原点。最后给出的BTT导弹非线性六自由度数字仿真结果显示了该设计方法的有效性。     

混合变量系统基于MCMC的自适应重要抽样法

 系统关键故障的发生,会导致系统处于各种离散性能降级状态.针对传统的基于马尔可夫链蒙特卡罗(Markov chain Monte Carlo,MCMC)的自适应重要抽样法只适用于连续变量系统的不足,提出考虑混合变量的基于MCMC的自适应重要抽样法,以支持系统性能可靠性的高效仿真.该方法首先将由关键故障产生的不同失效域组成失效空间,并通过初始样本点在失效空间中随机游走构造马尔可夫链模拟样本;然后综合考虑连续变量与离散变量,利用核密度估计构建混合核抽样密度函数;再根据该密度函数进行重要抽样仿真并计算系统的性能可靠性;最后对该方法的仿真效率进行理论分析.通过电液舵机(Electro-Hydrostatic Actuator,EHA)案例对方法的正确性和仿真效率进行验证.     

Stability and waves of transonic laboratory and space plasmas

The properties of magnetohydrodynamic waves and instabilities of laboratory and space plasmas are determined by the overall magnetic confinement geometry and by the detailed distributions of the density, pressure, magnetic field, and background velocity of the plasma. Consequently, measurement of the spectrum of MHD waves (MHD spectroscopy) gives direct information on the internal state of the plasma, provided a theoretical model is available to solve the forward as well as the inverse spectral problems. This terminology entails a program, viz. to improve the accuracy of our knowledge of plasmas, both in the laboratory and in space. Here, helioseismology (which could be considered as one of the forms of MHD spectroscopy) may serve as a luminous example. The required study of magnetohydrodynamic waves and instabilities of both laboratory and space plasmas has been conducted for many years starting from the assumption of static equilibrium. Recently, there is a outburst of interest for plasma states where this assumption is violated. In fusion research, this interest is due to the importance of neutral beam heating and pumped divertor action for the extraction of heat and exhaust needed in future tokamak reactors. Both result in rotation of the plasma with speeds that do not permit the assumption of static equilibrium anymore. In astrophysics, observations in the full range of electromagnetic radiation has revealed the primary importance of plasma flows in such diverse situations as coronal flux tubes, stellar winds, rotating accretion disks, and jets emitted from radio galaxies. These flows have speeds which substantially influence the background stationary equilibrium state, if such a state exists at all. Consequently, it is important to study both the stationary states of magnetized plasmas with flow and the waves and instabilities they exhibit. We will present new results along these lines, extending from the discovery of gaps in the continuous spectrum and low-frequency Alfvén waves driven by rotation to the nonlinear flow patterns that occur when the background speed traverses the full range from sub-slow to super-fast. This revised version was published online in August 2006 with corrections to the Cover Date.     

可压流的龙格-库塔时间步进求解法及其应用

研究了用经典四阶龙格－库塔法计算可压缩流场的可行性,并将其用到了电弧喷射推力器内部等离子体流场的数值求解中。应用情况表明,在结合了局域时间步长、隐式残值光滑加速收敛措施后,本格式能够成功地计算比较复杂的可压缩气体流场以及等离子体流场。有关计算结果揭示了气体流经电弧喷射推力器通道但无电流时形成的纯气动流场以及有电流通过时形成的等离子体流场的丰富的结构和一些重要的影响因素,为研究其过程机制提供了依据。     

离子发动机栅极系统中束流离子的三维模拟

应用网格质点法,对离子发动机栅极系统进行了三维数值模拟.模拟得到了离子发动机栅极系统中的电场分布、离子运动轨迹、离子在计算域内的空间分布和相空间分布等.计算结果表明,屏栅的离子透明度为69.3%,大于其物理透明度67.1%,加速栅的离子透明度为100%,远大于其物理透明度31.1%,说明所选模拟工况参数合理.模拟结果可以为离子发动机栅极的初步设计提供理论参考.      

Shimmy analysis of a simple aircraft nose landing gear model using different mathematical methods

Shimmy oscillations are still a problem in design and operation of aircraft landing gears, and accurate and appropriate analysis is required to master the task. Based on a nonlinear model of the mechanics of the landing gear and tire elasticity according to elastic string theory, some well known linear and nonlinear mathematical methods are applied to the shimmy analysis of a simple model of a nose gear: Computing eigenvalues, solving analytically the stability boundaries with a parameter space method, getting limit cycles by analytical formulae from describing functions, and last but not least numerical simulation of time histories. It seems that linear or quasi linear methods and analytical solutions are well suited to obtain extensive insight, respecting limitations of these methods. Numerical simulation on the other hand is a valuable tool for pointing out specific effects of a nonlinear system in large amplitude regions.     

Reliability Sensitivity Algorithm Based on Stratified Importance Sampling Method for Multiple Failure Modes Systems

 Combining the advantages of the stratified sampling and the importance sampling, a stratified importance sampling method (SISM) is presented to analyze the reliability sensitivity for structure with multiple failure modes. In the presented method, the variable space is divided into several disjoint subspace by n-dimensional coordinate planes at the mean point of the random vector, and the importance sampling functions in the subspaces are constructed by keeping the sampling center at the mean point and augmenting the standard deviation by a factor of l. The sample size generated from the importance sampling function in each subspace is determined by the contribution of the subspace to the reliability sensitivity, which can be estimated by it-erative simulation in the sampling process. The formulae of the reliability sensitivity estimation, the variance and the coeffi-cient of variation are derived for the presented SISM. Comparing with the Monte Carlo method, the stratified sampling method and the importance sampling method, the presented SISM has wider applicability and higher calculation efficiency, which is demonstrated by numerical examples. Finally, the reliability sensitivity analysis of flap structure is illustrated that the SISM can be applied to engineering structure.     

Detection and range/Doppler estimation for colocated sensors

The problem of multisensor detection and high resolution signal state estimation using joint maximum a posteriori detection and high order nonlinear filtering techniques is addressed. The model-based fusion approach offers the potential for increased target resolution in range/Doppler/azimuth space. The approach employs joint detection/estimation filters (JDEF) for target detection and localization. The JDEF approach segments the aggregate nonlinear model over the entire target resolution space into a number of localized nonlinear models by partitioning the resolution space into a number of resolution subcells. This partitioning leads to extremely accurate state estimation. The proposed JDEF approach has a built-in capability for automatic data alignment from multiple sensors, and can be used for centralized, decentralized, and distributed data fusion.     

Line-of-sight-pointing for satellites in high altitude inclined elliptic orbits

With a growing demand for space communications and resulting overcrowding of geostationary orbit (GEO), the importance of high altitude inclined elliptic orbits is gaining impetus. However, the satellites in these orbits suffer from a severe problem of apparent periodic angular drift around their line-of-sight. This paper addresses this problem and proposes a cost effective method based on tether to continually tilt the satellites in order to compensate for longitudinal and lateral drifts relative to the ground station. The proposed system comprises two satellites connected by a flexible tether at a point on each satellite with offsets. A control strategy is developed for tether offset variations that ensures judiciously controlled changes in the satellite orientations. The numerical simulation of the governing nonlinear equations of motion establishes the feasibility of the concept. A high degree of line-of-sight pointing of dual satellites as well as the simplicity of the proposed control mechanism makes the concept particularly attractive for future space applications.     

飞机大攻角空间机动气动力建模研究

 准确的气动力模型是大攻角机动仿真与控制等飞行动力学问题研究的基础。针对纵向运动建立的非线性非定常气动力微分方程模型扩展应用于一般空间运动形式,在分析大攻角非定常流动机理和试验数据的基础上,发展了一种多自由度非线性非定常气动力数学模型,并探讨了模型辨识和参数估计问题。用全机构形的大攻角动态风洞试验数据对模型进行的验证表明所发展的气动力模型能够描述大攻角气动力主要的非线性和非定常特性。