基于不变流形的地-月L2点转移轨道优化设计

在地–月L2点月球中继卫星轨道转移设计中,采用高比冲、小推力的电推进器可以大大增加卫星的有效载荷比,但会增加轨道设计的难度。基于地球GEO轨道为初始轨道,地–月L2点的halo轨道为目标轨道,通过最优控制中的混合法及平动点轨道的不变流形,研究了作为拓展任务的利用地月系统不变流形的小推力变轨方案,可以有效简化转移的轨道设计。仿真结果表明:得到了任意推力情况下最节省推进剂燃料的推力方向控制方案,对月球中继卫星的轨道设计及其平动点轨道设计具有工程意义。     

可转位高速铣刀刀体加工的工艺优化

系统的研究了可转位高速铣刀刀体容屑槽与刀片槽加工工艺方案。设计了确保加工精度的工装夹具,优选出了最佳的使用刀具材料,优化了刀具加工路径及误差控制策略。     

Legendre-Gauss拟谱法求解最优控制问题

 提出一种新的求解基于常微分方程(ODE)和微分代数方程(DAE)的最优控制问题的数值方法。本方法基于直接配置法,通过Legendre-Gauss拟谱法同时离散化状态变量和控制变量把最优控制问题转化为一个非线性规划问题。与传统的直接转换法相比,本方法具有精度高、计算量小、结构简单的特点,而且可以求解最优控制“多相”问题。数值结果表明,本方法是一种通用的精度较高的最优控制直接数值求解法,可用于求解ODE/DAE最优控制问题。     

单曲柄双摇杆扑翼驱动机构的优化设计

微扑翼飞行器在试飞过程中时常发生向左或者向右倾斜栽落的现象,这是由于左右扑翼动作的不完全对称性引起的.由此建立了驱动机构在一个运动周期内左右扑翼角之差和角速度之差的数学模型,并在机械学、仿生学等约束条件下利用模式搜索法对目标函数进行了优化设计.优化前后的参数对比分析和试飞试验均表明:该优化显著增强了微扑翼飞行器的运动对称性.      

月球探测器动力下降段最优轨迹参数化方法

为保证月球探测器进入姿态调整段时具有充分的高度与速度余量,本文提出一种基于控制变量参数化的月球探测器动力下降段最优轨迹求解方法。在三维探测器软着陆动力学模型基础上,将月球探测器软着陆制导律设计等效为燃料最优约束下的探测器俯仰角控制问题,利用控制变量参数化(Control Variables Parameterization, CVP)方法将该控制问题中的控制变量与约束条件转化为非线性规划问题求解,并引入时间尺度变换,将着陆时间序列加入待规划参数,进而求得满足精度的最优数值解。蒙特卡罗仿真实验表明,与传统的显式制导律相比,本文提出的参数化制导方法在动力下降段燃料更省,动力下降段的起始高度在±20%范围内波动时,仍能以高精度速度和高度指标完成末制导。     

Extension of continuous scanning laser Doppler vibrometry measurement for complex structures with curved surfaces

The continuous Scanning Laser Doppler Vibrometry (SLDV) developed on the base of the galvanometer scanner system has made it possible to quickly obtain the full field vibration responses within a rectangular area of the structure. In this paper, an arbitrary continuous scanning path generating method for Continuous Scanning Laser Doppler Vibometry (CSLDV) is further put forward in order to allow the CSLDV suitable for testing structures featured by complex shapes not just for regular areas. In the first step, the relationship between position of laser spot and the driving voltages of galvanometer scanner system has been described by a mathematical modeling. Then, a novel arbitrary scanning path generating strategy based on CSLDV is presented by deforming a normalization rectangular scanning path to an arbitrary continuous scanning path. The mapping relation between the normalization rectangular scanning path and arbitrary continuous scanning path is established using the reference points. In the second step, a compressor blade with curved surface was taken as an example for modal test using the proposed method. At the same time, a validated experiment was performed in SLDV. The results show the mode shapes derived from the extended CSLDV are in agreement with those from SLDV and the Modal Assurance Criterion (MAC) between the two are all greater than 0.96. They also demonstrate the feasibility and effectiveness of the proposed method for CSLDV test and show strong potential on further practical engineering applications.     

陈乃兴先生的主要学术成就和对科技发展的重要贡献:隆重纪念陈乃兴先生逝世一周年

2019年8月6日是中国著名工程热物理学家陈乃兴先生逝世一周年的纪念日。从6个方面详细阐述了陈乃兴先生的主要学术成就和对科技发展的重要贡献。他一生献身祖国、献身科学研究的拼搏精神，将鼓舞大家砥砺奋进。     

Active vibration suppression for flexible satellites using a novel component synthesis method

This paper is devoted to developing a closed-loop vibration suppression controller for a satellite with large flexible appendages based on component synthesis vibration suppression (CSVS) method. The dynamics model of a flexible satellite is firstly established by using the Newton–Euler methodology, and the dynamics model of the flywheel is also developed. A novel CSVS method is presented based on zero-vibration differentiator (ZVD), which can guarantee multi-order vibration suppression. Combined with the proposed CSVS method, traditional closed-loop controllers such as PD or sliding mode controllers can be applied to active vibration suppression. The stability of the proposed closed-loop CSVS controller is proved by the Lyapunov theory. Subsequently, the dynamic optimal control allocation algorithm is proposed for six flywheels, and a novel nonsingular fast terminal sliding mode controller is developed to obtain practical voltage control input for the flywheel drive control system. Finally, numerical simulations are carried out to validate the effectiveness of the proposed method.     

Spatio-temporal variability of the wet component of the troposphere – Application to satellite altimetry

Due to the presence of water vapour and cloud liquid water in the atmosphere, the wet component of the troposphere is responsible for a delay in the propagation of the altimeter signals, the Wet Path Delay (WPD). The high space–time variability of the water vapour distribution makes the modelling of WPD difficult, its effect still being one of the main error sources in satellite altimetry applications, e.g. in the estimation of Mean Sea Level (MSL). The understanding and the quantification of the WPD variability on various spatial and temporal scales are the main purposes of this study, in view to improve the MSL error budget. The dominant timescales of WPD variability and its correlation with Sea Level Anomaly (SLA) are examined. In these analyses, the atmospheric reanalysis ERA-Interim model from the European Centre for Medium-Range Weather Forecasts (ECMWF) is used to derive a global dataset of daily grids of WPD, spanning a 28-year period from January 1988 to December 2015. The Seasonal-Trend decomposition procedure based on Loess (STL) is used to extract precise WPD annual and interannual signals. Linear trends have been derived from the interannual time series and the contribution of each STL component was mapped globally, allowing the understanding of the WPD variability in spatial terms. The correlation between SLA and WPD is mapped and decomposed into seasons using monthly mean grids, for a period of 21-years, from January 1993 to December 2013.Aiming at inspecting the sensitivity of the results to the used data set, the WPD temporal analysis is extended to the data set provided by the Special Sensor Microwave Imager (SSM/I) and SSM/I Sounder (SSM/IS) Sensors. The WPD from SSM/I(S) is compared against those from the ERA-Interim and from the National Centers for Environmental Prediction (NCEP).Results show that climate phenomena, especially the El Niño Southern Oscillation (ENSO) are the cause for this high variability, since they affect the water vapour and temperature. The observed trends from ERA-Interim, computed globally and over ocean regions only, allow concluding that WPD is increasing with time by approximately 0.1?mm per year, and the maximum trends are observed for the Pacific North and Indian Oceans. High correlation between WPD and SLA is found over the western tropical Pacific.The comparison between WPD from SSM/I(S) and from ERA-Interim and NCEP, allows concluding that the trends computed using only the SSM/I(S) measurement points are substantially larger.     

基于改进多目标布谷鸟搜索算法的翼型气动优化设计

布谷鸟搜索（CS）算法是一种新型的受自然现象启发的元启发式智能优化算法，其强大的全局搜索能力和收敛速度受到了广泛关注。多目标布谷鸟搜索（MOCS）算法是一种在单目标布谷鸟算法基础上发展的可以直接求解Pareto解集的多目标优化算法。针对原始MOCS算法的不足，采用一系列措施以提高算法的收敛精度、收敛速度以及解的均匀性：通过引入非支配排序与拥挤距离来改进解的适应度评估；通过改进随机游走策略来提高局部搜索能力；通过引入改进的自适应丢弃概率策略来提高算法的收敛速度；加入档案管理机制，提高解的均匀性。典型的多目标数值算例结果表明，改进的MOCS算法相较于当前主流的NSGA-Ⅱ算法拥有更快的收敛速度和更高的收敛精度。以RAE2822双目标升阻比优化设计为例，将改进的MOCS算法应用于多目标气动优化中，改进的MOCS算法共获得64个Pareto解，优化后的翼型气动性能有明显的提升，设计者可以根据自己的偏好选取不同的Pareto解。对于气动优化问题，改进的MOCS算法与目前主流的NSGA-Ⅱ相比，收敛速度更快。