防热材料热解与氧化性能试验技术研究

介绍了利用Arrhenius方程开展材料烧蚀热解性能动力学特性的基本原理，试验测试方法。并通过对炭酚醛材料烧蚀动力学参数的高频等离子体风洞试验研究，验证了采用时间历程积分在试验结果处理中的可靠性，在此基础上采用平板试验技术获得炭酚醛材料在600～1200K温度范围内的表面质量烧蚀率动力学方程，并将该方程所预测的结果与采用驻点烧蚀技术所获得的结果进行比较。结果显示：二者最大误差不超过5％，通过理论初步分析了二者之间存在差异的主要原因，并在试验比较分析的基础上，采用最大误差限理论分析了试验结果的可靠性。     

Sensitivity studies of the deployment of a square inflatable solar sail with vanes

This paper summarizes the results of numerical experiments to determine the sensitivity of the final attitude of an inflatable solar sail with vanes after deployment to various parameters affecting the deployment process. These parameters are: in- and out-of-plane asymmetries during deployment, length inflation profile, and vane deployment failures. We show how robust the sail deployment is to geometric asymmetries before a 35° off-Sun angle is reached. Differential delays in the time to inflate the booms and a boom sweep-back angle affect the stability favorably. Adjacent vane failures to deploy affect the stability unfavorably, while the failure of opposing vanes is acceptable. Realistic boom length rate profiles obtained during ground tests are used in the simulation showing that failing adjacent vanes in conjunction with initial inflation delays in adjacent booms represent the worst case. We also demonstrate that by feeding back attitude and attitude rate measurements so that a corrective action is taken during the deployment, the final attitude can be maintained very close to the initial attitude, thus mitigating the attitude changes incurred during deployment.     

The method for predicting solar proton events

Dynamic processes in the interplanetary space have been investigated using time variations in time parameters of the cosmic-ray rigidity spectrum. Change of heliosphere electromagnetic characteristics has been found out to precede sporadic phenomena on the Sun. In particular, it is shown that sporadic phenomena are followed by generation of local polarization electric fields, decrease of the magnetic-field strength in small-scale heliospheric structures, and increase of the potential difference between the pole and the plane of the ecliptic. These features allow prediction of solar proton events in advance (from several hours to several tens of hours) with a high degree of confirmation.     

简论社会主义政治文明的历史方位及特征

政治文明是人类政治生活的进步状态，社会主义政治文明是在社会主义社会的基础上确立和发展的，是现代政治文明发展的先进形态。中国共产党在中国社会所开创的社会主义政治文明，不仅具有社会主义社会的本质要求，而且具有鲜明的中国特色。     

Height-latitude structure of stationary planetary waves in the stratosphere and lower mesosphere

Daily UK Met Office stratospheric assimilated data for the Northern and Southern Hemispheres, accumulated for the period from 2004 to 2012 and pressure range of 1000–0.1 hPa, are used in this paper. The paper presents and thoroughly discusses spatial–temporal distributions of stationary planetary wave (SPW) amplitudes and phases, calculated on the basis of geopotential height, temperature, zonal and meridional wind data for zonal wave numbers 1 and 2 (SPW1 and SPW2). The climatological planetary wave amplitudes and phases are calculated by extracting waves from three types of data: daily, monthly mean and climatological monthly mean. It has been established that magnitude of amplitudes and height-latitude distribution of amplitudes of SPW1 and SPW2 depend on data processing method for all parameters. It has also been established that height-latitude distribution amplitudes and phases significantly differ for geopotential height, temperature, zonal and meridional wind and depend on wave number and hemisphere. However, height-latitude distributions of phases are little different from each other for the used methods of data processing.     

Adaptive neural network control of nonlinear systems with unknown dynamics

In this study, an adaptive neural network control approach is proposed to achieve accurate and robust control of nonlinear systems with unknown dynamics, wherein the neural network is innovatively used to learn the inverse problem of system dynamics with guaranteed convergence. This study focuses on the following three contributions. First, the considered system is transformed into a multi-integrator system using an input–output linearization technique, and an extended state observation technique is used to identify the transformed states. Second, an iterative control learning algorithm is proposed to achieve the neural network training, and stability analysis is given to prove that the network’s predictions converge to ideal control inputs with guaranteed convergence. Third, an adaptive neural network controller is developed by combining the trained network and a proportional-integral controller, and the long-standing challenge of model-based methods for control determination of unknown dynamics is resolved. Simulation results of a virtual control mission and an aerospace altitude tracking mission are provided to substantiate the effectiveness of the proposed techniques and illustrate the adaptability and robustness of the proposed controller.     

Inverted decoupling and LMI-based controller design for a turboprop engine with actuator dynamics

The main objective of the turboprop engine control system is to ensure propeller absorbed power at a constant propeller speed by controlling fuel flow and blade angle. Since each input variable affects the selected output variables, there exist strong interactions between different control loops of a Two-Spool TurboProp Engine (TSTPE). Inverted decoupling is used to decouple the interactions and decompose the TSTPE into two independent single-input single-output systems. The multi-variable PI controller and two single-variable PI controllers are designed for the TSTPE with actuator dynamics based on Linear Matrix Inequality (LMI), respectively, which is derived from static output feedback and pole placement condition. The step responses show that due to the difference in the response times of the selected output variables, it is difficult to design an appropriate multi-variable PI controller. The designed single-variable PI controllers are tested on the TSTPE integrated model to illustrate the effectiveness of the proposed method, that is, the interactions are first decoupled and then the controllers are designed, and the resulting simulated responses show that compared with the controller designed without actuator dynamics, the gas-generator shaft speed and power turbine shaft speed can better track their respective commands under the action of the controller designed with actuator dynamics.     

带弹性元件扑翼机构的动力学分析及实验

为研究扑翼飞行器传动机构的能量特性，以特拉华大学机械系统实验室所研制样机为原型进行了建模。引入气动项和拉力弹簧建立了完整的动力学模型。分析发现，气动项的力矩峰值为惯性项的4.8倍，对电机的转矩峰值的影响起主要作用。运用正交法进行仿真发现，引入拉力弹簧可以使电机转矩峰值最大降低77.5%，与理论分析相符合。进一步的物理实验验证了理论分析和仿真结果的正确性，并得到了当弹簧的连接点位置为185 mm、原长为200 mm及刚度为0.1 N/mm时实验结果取得最优值，可为扑翼机传动机构的优化设计提供依据。此外，引入弹性元件也可有效降低电机的转速波动，进而为仿生扑翼飞行器的生产和实践应用提供理论指导。     

低空风切变系统建模及其对直升机飞行安全威胁定性分析

系统地建立了含湍流的三维低空风切变模型，并综合分析了其对直升机飞行安全的威胁。建立了微下击暴流风场及大气湍流场组合的风切变模型，在不增加计算量的前提下，选取特征点发展直升机飞行动力学模型，有效捕捉了风切变的切变特性，提高了在风场中的动态响应计算精度。模型配备姿态保持功能的控制增稳系统已符合一般直升机的飞行状态，并改善机体响应。根据风速分布的特点，选取不同飞行速度、不同风场位置进行飞行仿真，定性地对比分析状态量变化与风场对应关系，并且以垂向通道为例，从动力学角度分析验证了响应的理论计算表达式。结果表明：湍流主要导致高频姿态角响应，风切变对飞行状态量变化占主导作用，且垂向风是引起威胁的主要因素，据此提出危险风场规避建议。     

基于三维有限元的火箭模态振型斜率预示方法研究

振型斜率火箭是姿控系统设计的重要参数,对飞行任务的可靠性与安全性有着至关重要的作用。依据全箭动特性的测量原理及参数定义,结合三维有限元建模方法和模型修正技术,全面考虑了速率陀螺、惯组安装位置处的局部刚度对振型和振型斜率的影响,建立了基于局部细节精细化建模的全箭模态振型斜率预示方法,并总结了3种不同的振型斜率提取方法,提高了振型斜率的预示精度。同时提供了三维模型振型一维化的方法,解决了使用三维有限元模型计算弹性运动方程式系数的难题。