可压缩流体恒温热线风速仪校准方法

开展了恒温(CT)热线风速仪校准方法的研究,以满足可压缩流体中湍流度测量需求。将对数函数与多元回归技术相结合,建立了恒温热线风速仪校准的数学模型,并进行了风洞湍流度测量试验验证。在马赫数Ma=0.3~0.55范围内进行了校准试验,根据建立的数学模型对试验数据进行拟合,拟合优度R2=0.999 82,平均绝对速度偏差Δu=0.18m/s,基本满足了恒温热线风速仪校准精度要求。对马赫数Ma=0.55条件下流场进行了湍流度测量,速度测量偏差为0.034%,流场湍流度Tu=0.14%。试验结果证明了恒温热线风速仪应用于可压缩流体速度测量的可行性。     

飞行模拟器动力学控制的研究

针对如何获取运动平台的实时加速度和在精确跟踪加速度的同时限制位移,建立了系统动力学模型以计算加速度,使用虚拟弹簧法限制位移。在Matlab环境下,搭建了整个伺服控制系统。仿真结果表明,控制系统在保证平台位移不脱离限制区域的基础上,实现了加速度的精确跟踪。     

基于CFD动网格的内装式空射分离研究

研究了使用飞机发射运载火箭时的机箭分离过程.提出了一种可以解决内装式空射分离问题的整体解决方案,主要基于CAD三维实体建模方法、多体动力学方法和结合六自由度运动的计算流体力学(CFD)动网格方法.以CFD动网格计算为核心,进行了空射分离过程关键问题的研究,得到了火箭在载机气动干扰环境下的运动特性,为轨道卫星和弹道导弹的快速、廉价发射打下了研究基础.     

Real-time trajectory planning for UCAV air-to-surface attack using inverse dynamics optimization method and receding horizon control

This paper presents a computationally efficient real-time trajectory planning framework for typical unmanned combat aerial vehicle (UCAV) performing autonomous air-to-surface (A/S) attack. It combines the benefits of inverse dynamics optimization method and receding horizon optimal control technique. Firstly, the ground attack trajectory planning problem is mathematically formulated as a receding horizon optimal control problem (RHC-OCP). In particular, an approximate elliptic launch acceptable region (LAR) model is proposed to model the critical weapon delivery constraints. Secondly, a planning algorithm based on inverse dynamics optimization, which has high computational efficiency and good convergence properties, is developed to solve the RHCOCP in real-time. Thirdly, in order to improve robustness and adaptivity in a dynamic and uncer- tain environment, a two-degree-of-freedom (2-DOF) receding horizon control architecture is introduced and a regular real-time update strategy is proposed as well, and the real-time feedback can be achieved and the not-converged situations can be handled. Finally, numerical simulations demon- strate the efficiency of this framework, and the results also show that the presented technique is well suited for real-time implementation in dynamic and uncertain environment.     

两类激波捕捉格式的性能分析

考虑了两类典型的激波捕捉格式:特征形式的MUSCL(Monotone Upstream-centred Schemes for Conservation Laws)格式和WENO(Weighted Essentially Non-Oscillatory)格式.MUSCL格式在作特征变换时使用了局部线性化的思想,并且针对波系的性质施加相应的限制器;通过逐维重构实现有限体积法的WENO格式.针对一维、二维和三维Euler系统进行数值实验.在一维和二维的情况下,特征形式的MUSCL格式在接触间断的捕捉上具有较明显的优势,而对于激波的捕捉则差别不大.对于三维问题则是WENO格式对流场的分辨更精细.最后对上述结果给出解释,并且提出了可能的改进方法.     

基于Δ-Υ等效变换的SGCMG高速转子轴向振动特性分析及验证

悬臂式单框架控制力矩陀螺（SGCMG）的轴向振动较为剧烈,频率成分也比较复杂;由于这种SGCMG结构是由众多串、并联,甚至桥联的弹性构件组成的,因此难以建立其精确的轴向动力学模型.首先通过Δ-Υ等效变换的方法,简化了高速转子的轴向串并联关系,进而计算出其轴向刚度;其次详细分析了系统激振源——预紧轴承各零部件的加工波纹所导致的预紧力的波动,并采用相互调幅的形式描述了该波动量;然后建立了高速转子的轴向动力学方程;最后通过数值仿真和实测结果的对比验证了分析的合理性和模型的有效性.     

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.     

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.