飞行训练弹设计方案探讨

论述了研制半主动雷达寻的空空导弹训练弹的必要性，提出了训练弹设计方案的基本要求及关键所在，在分析导弹工作过程的基础上，指出必须提供具有逻辑功能的模拟信号和故障设置。通过举例对准备程序和点火程序逻辑功能电路的探讨提出了训练弹电路设计方案的基本构想。     

Dynamic airspace configuration method based on a weighted graph model

This paper proposes a new method for dynamic airspace configuration based on a weighted graph model. The method begins with the construction of an undirected graph for the given airspace, where the vertices represent those key points such as airports, waypoints, and the edges represent those air routes. Those vertices are used as the sites of Voronoi diagram, which divides the airspace into units called as cells. Then, aircraft counts of both each cell and of each air-route are computed. Thus, by assigning both the vertices and the edges with those aircraft counts, a weighted graph model comes into being. Accordingly the airspace configuration problem is described as a weighted graph partitioning problem. Then, the problem is solved by a graph partitioning algorithm, which is a mixture of general weighted graph cuts algorithm, an optimal dynamic load balancing algorithm and a heuristic algorithm. After the cuts algorithm partitions the model into sub-graphs, the load balancing algorithm together with the heuristic algorithm transfers aircraft counts to balance workload among sub-graphs. Lastly, airspace configuration is completed by determining the sector boundaries. The simulation result shows that the designed sectors satisfy not only workload balancing condition, but also the constraints such as convexity, connectivity, as well as minimum distance constraint.     

基于DSP的数字化电动舵系统改进设计

对某型基于N80C196单片机的数字电动舵系统进行了改进设计,利用DSP控制技术对其数字控制器升级改造,在数字滤波、控制算法和舵系统的响应快速性、静态稳定性等方面进行了研究,并进行了舵系统DSP控制器的研制和调试。针对改进的舵系统提出了一种分段PID／变结构复合控制算法,完成了DSP数字化舵系统的硬件设计和软件设计,采用C语言和汇编语言进行DSP控制器编程。通过实验测试运行结果和计算机仿真结果的对比,以及对通频带的测试,说明了改进设计电动舵系统的DSP控制器的有效性。     

基于高斯波束传输的高功率微波的大气击穿问题

提出了一种修正利用高斯波束传输高功率微波(High-Power Microwave,HPM)时的大气折射率的模型.在此模型中,把高斯波束横截面分成若干个同心圆环,并假定每一个同心圆环内的场强分布是均匀的.以基于电子流体力学方程和Maxwell方程的大气击穿理论,利用由实验数据拟合出来大气粒子的碰撞和大气电离参数,研究了高能量高斯波束的非线性传输,数值计算了在给定高斯波束参数时,在不同的压强下,波束以不同的电场强度、频率、脉冲宽度入射下的大气折射率.通过分析折射率的时间色散、空间色散以及时间空间色散,讨论了传输HPM脉冲的高斯波束的大气击穿问题,获得了一些有意义的结果.      

吸气式高超声速飞行器助推-巡航轨迹优化

针对吸气式高超声速巡航飞行器建立了纵向平面内的二维轨迹优化模型(包括火箭助推段和吸气式飞行段),其中大气模型、气动力模型和发动机模型均建立了比较详细的模型,能够比较全面、准确地描述吸气式高超声速巡航飞行器的特征;基于配点法建立了适用于高超声速巡航飞行器助推-巡航轨迹优化的方法,在求解非线性规划时引入了规范化处理、稀疏分析和偏导数计算方法等,以提高优化效率;对吸气式高超声速飞行器助推-巡航轨迹进行了优化研究,分析了典型设计参数变化对最优轨迹的影响。仿真结果表明:所建立的方法能够快速、高精度求解吸气式高超声速巡航飞行器轨迹优化问题,并且能够方便地分析设计参数变化对最优轨迹的影响,可用于吸气式高超声速飞行器飞行剖面设计与优化。     

Review on ultra-lightweight flapping-wing nano air vehicles:Artificial muscles,flight control mechanism,and biomimetic wings

Flying insects are capable of flapping their wings to provide the required power and control forces for flight. A coordinated organizational system including muscles, wings, and control architecture plays a significant role, which provides the sources of inspiration for designing flapping-wing vehicles. In recent years, due to the development of micro-and meso-scale manufacturing technologies, advances in components technologies have directly led to a progress of smaller Flapping-Wing Nano Air V...     

Locally generalised multi-agent reinforcement learning for demand and capacity balancing with customised neural networks

Reinforcement Learning (RL) techniques are being studied to solve the Demand and Capacity Balancing (DCB) problems to fully exploit their computational performance. A locally generalised Multi-Agent Reinforcement Learning (MARL) for real-world DCB problems is proposed. The proposed method can deploy trained agents directly to unseen scenarios in a specific Air Traffic Flow Management (ATFM) region to quickly obtain a satisfactory solution. In this method, agents of all flights in a scenario form a multi-agent decision-making system based on partial observation. The trained agent with the customised neural network can be deployed directly on the corresponding flight, allowing it to solve the DCB problem jointly. A cooperation coefficient is introduced in the reward function, which is used to adjust the agent’s cooperation preference in a multi-agent system, thereby controlling the distribution of flight delay time allocation. A multi-iteration mechanism is designed for the DCB decision-making framework to deal with problems arising from non-stationarity in MARL and to ensure that all hotspots are eliminated. Experiments based on large-scale high-complexity real-world scenarios are conducted to verify the effectiveness and efficiency of the method. From a statistical point of view, it is proven that the proposed method is generalised within the scope of the flights and sectors of interest, and its optimisation performance outperforms the standard computer-assisted slot allocation and state-of-the-art RL-based DCB methods. The sensitivity analysis preliminarily reveals the effect of the cooperation coefficient on delay time allocation.     

Static magnetic field analysis of hollow-cup motor model and bow-shaped permanent magnet design

The hollow-cup Permanent Magnet (PM) motors have the characteristics of low power consumption, and are widely used in the aerospace field. At present, the tile-shaped PMs used by hollow-cup PM motors have poor sinusoidal characteristics of the air gap magnetic flux density waveform, which will cause torque ripple. The existing method for improving the air gap magnetic flux density waveform is not very effective when applied to hollow cup, a special motor with no stator core and large air gap. A bow-shaped PMs structure is designed for the hollow-cup motor in this paper. First, the equivalent surface current method is used to calculate the analytical formula of the static magnetic field of the model. Then, the Finite Element (FE) method is used to calculate the static air gap flux density waveform of conventional tile-shaped PMs and bow-shaped PMs with different bow heights, and the corresponding harmonics and sine distortion are obtained by Fourier decomposition. The simulation results show that the bow-shaped PMs can effectively improve the sinusoidal characteristics of the static air gap flux density waveform. And the suitable bow height is determined. Finally, a prototype is made based on the suitable bow height for experiments, and compared with the analytical result and the FE result, and the accuracy and effectiveness of the bow-shaped PMs with the suitable bow height are verified.     

Multi-scale simulation model of air system based on cross-dimensional data transmission method

The Secondary Air System (SAS) plays an important role in the safe operation and performance of aeroengines. The traditional 1D-3D coupling method loses information when used for secondary air systems, which affects the calculation accuracy. In this paper, a Cross-dimensional Data Transmission method (CDT) from 3D to 1D is proposed by introducing flow field uniformity into the data transmission. First, a uniformity index was established to quantify the flow field parameter distribution characteristics, and a uniformity index prediction model based on the locally weighted regression method (Lowess) was established to quickly obtain the flow field information. Then, an information selection criterion in 3D to 1D data transmission was established based on the Spearman rank correlation coefficient between the uniformity index and the accuracy of coupling calculation, and the calculation method was automatically determined according to the established criterion. Finally, a modified function was obtained by fitting the ratio of the 3D mass-average parameters to the analytical solution, which are then used to modify the selected parameters at the 1D-3D interface. Taking a typical disk cavity air system as an example, the results show that the calculation accuracy of the CDT method is greatly improved by a relative 53.88% compared with the traditional 1D-3D coupling method. Furthermore, the CDT method achieves a speedup of 2 to 3 orders of magnitude compared to the 3D calculation.