一种燃料最省的火星精确着陆动力下降段快速轨迹优化方法

针对火星精确着陆问题,给出一种燃料最省的火星着陆动力下降段快速轨迹优化方法。首先以燃料最省为指标建立了着陆器动力下降段轨迹优化问题模型,然后利用极大值原理对该模型的推力大小、推力方向与协状态变量之间的关系进行分析,得出着陆器推力只能以最大或最小推力工作、推力方向和与速度对应的协状态矢量方向相同的结论。并以此为基础,将原问题的状态微分方程和协状态微分方程转换为有限个推力为常值的分段函数,推导每段内微分方程的解析表达式,给出了动力下降段轨迹优化方法的算法流程;最后通过数学仿真将所提出的方法与凸规划、多项式制导方法进行比较。结果表明该方法不仅避免了多项式方法没有考虑推力约束及燃料消耗的缺陷,而且在计算效率方面较凸规划方法有大幅度提高。     

Optimal trajectory and downlink power control for multi-type UAV aerial base stations

Unmanned Aerial Vehicles (UAVs) enabled Aerial Base Stations (UABSs) have been studied widely in future communications. However, there are a series of challenges such as interference management, trajectory design and resource allocation in the scenarios of multi-UAV networks. Besides, different performances among UABSs increase complexity and bring many challenges. In this paper, the joint downlink transmission power control and trajectory design problem in multi-type UABSs communication network is investigated. In order to satisfy the signal to interference plus noise power ratio of users, each UABS needs to adjust its position and transmission power. Based on the interactions among multiple communication links, a non-cooperative Mean-Field-Type Game (MFTG) is proposed to model the joint optimization problem. Then, a Nash equilibrium solution is solved by two steps: first, the users in the given area are clustered to get the initial deployment of the UABSs; second, the Mean-Field Q (MFQ)-learning algorithm is proposed to solve the discrete MFTG problem. Finally, the effectiveness of the approach is verified through the simulations, which simplifies the solution process and effectively reduces the energy consumption of each UABS.     

系留悬浮式风力发电技术的研究进展与展望

风力发电作为清洁能源利用的重要方式,具有无污染、可再生、方便采集等特点,近年来得到快速发展。相对于传统低空风力发电,系留悬浮式风力发电具有容量系数高、发电成本低等优点,拥有更大的开发价值和发展潜力,已有多个国家开展研究并取得一定成果。本文通过对系留悬浮式风力发电技术发展的调研,归纳四种系留悬浮式风力发电技术类型,分析各技术类型的工作原理与特点,总结未来系留悬浮式风力发电需要重点突破的轻质高强系留缆绳设计与制造、高性能囊体复合材料、稳定与智能控制、高效风力发电飞行平台总体设计、便利展开部署五种关键技术,为后续研究提供参考。     

基于VPX总线的智能供配电系统设计

介绍了VPX标准及技术特点,提出了基于VPX总线架构的供配电系统组成和功能,并对各板卡的供电、控制、指令等进行分析,形成技术方案。实现了各功能板卡间的优化配置,开展了相关的试验验证。试验结果表明,该系统稳定可靠,具有广泛的应用前景。     

利用QED—200硅光电二极管自校准技术建立微光功率标准

着重介绍利用硅光二极管自校准技术建立激光功率标准的基本原理、实验装置的组成和实验结果。     

太空发电站参数化有限元建模与设计平台

在进行太空发电站的动力学与控制研究时,由于其结构尺寸庞大,单元与节点众多,传统有限元建模方法效率极低,通常只能将其假设为刚体或刚柔耦合系统,但这种近似简化处理必然会导致真实动力学特性的缺失。因此,文章提出一种太空发电站参数化有限元建模方法并建立设计平台,旨在缩短有限元建模周期,提高太空发电站设计、分析与优化的效率。以平台式太空发电站为原型,介绍了其基本参数与有限元模型。定义了易用的有限元节点与单元编号规则并给出了参数设置过程。借助APDL、UIDL,以及TCL/TK的混合编程技术,建立了太空发电站参数化有限元模块及设计平台,利用简单的菜单及人机交互界面实现电站的参数化有限元建模,设计人员从输入参数到开始建模的前处理时间不会超过2min,提高了建模效率。     

北斗卫星导航空间信号模拟畸变研究

针对卫星导航信号生成载荷故障会导致信号畸变,对北斗卫星导航信号模拟进行了研究分析。首先,建立了北斗导航信号模拟畸变的数学模型并对其进行了理论分析;其次,推导了北斗信号发生模拟畸变后的相关函数、功率谱密度函数和相关损耗,并仿真分析了北斗信号模拟畸变的相关峰曲线、功率谱密度曲线和相关损耗曲线;最后,利用S曲线及S曲线锁定点偏差的模型,仿真了北斗模拟畸变信号S曲线及S曲线锁定点偏差,并分析了北斗信号发生模拟畸变对测距性能产生的影响。结果表明：北斗信号发生模拟畸变的畸变程度越大,伪距测量误差越大,则导航系统的测距精度和定位精度越低,增强系统的完好性越小。     

功率约束下低相关旁瓣的通导一体化波形研究

通信导航一体化是未来无线系统的发展趋势,可以更加充分地利用频谱资源。设计了一种新的一体化波形,在实现通信符号传递的同时,利用其进行时延测距进而实现相应的定位导航功能。一种联合的优化目标函数被提出,其中以星座图上的范数误差衡量通信性能,以自相关函数的加权积分旁瓣电平衡量波形的定时性能。结合一体化系统的实际,在问题求解时同时考虑了波形总功率约束和波形恒模约束,并采用变量交替迭代优化的算法进行迭代求解。最后利用数值仿真验证了算法的有效性。     

Dynamic neighborhood genetic learning particle swarm optimization for high-power-density electric propulsion motor

To maximize the power density of the electric propulsion motor in aerospace application, this paper proposes a novel Dynamic Neighborhood Genetic Learning Particle Swarm Optimization (DNGL-PSO) for the motor design, which can deal with the insufficient population diversity and non-global optimal solution issues. The DNGL-PSO framework is composed of the dynamic neighborhood module and the particle update module. To improve the population diversity, the dynamic neighborhood strategy is first proposed, which combines the local neighborhood exemplar generation mechanism and the shuffling mechanism. The local neighborhood exemplar generation mechanism enlarges the search range of the algorithm in the solution space, thus obtaining high-quality exemplars. Meanwhile, when the global optimal solution cannot update its fitness value, the shuffling mechanism module is triggered to dynamically change the local neighborhood members. The roulette wheel selection operator is introduced into the shuffling mechanism to ensure that particles with larger fitness value are selected with a higher probability and remain in the local neighborhood. Then, the global learning based particle update approach is proposed, which can achieve a good balance between the expansion of the search range in the early stage and the acceleration of local convergence in the later stage. Finally, the optimization design of the electric propulsion motor is conducted to verify the effectiveness of the proposed DNGL-PSO. The simulation results show that the proposed DNGL-PSO has excellent adaptability, optimization efficiency and global optimization capability, while the optimized electric propulsion motor has a high power density of 5.207 kW/kg with the efficiency of 96.12%.     

功率约束下低相关旁瓣的通导一体化波形研究

通信导航一体化是未来无线系统的发展趋势，可以更加充分地利用频谱资源。设计了一种新的一体化波形，在实现通信符号传递的同时，利用其进行时延测距进而实现相应的定位导航功能。一种联合的优化目标函数被提出，其中以星座图上的范数误差衡量通信性能，以自相关函数的加权积分旁瓣电平衡量波形的定时性能。结合一体化系统的实际，在问题求解时同时考虑了波形总功率约束和波形恒模约束，并采用变量交替迭代优化的算法进行迭代求解。最后利用数值仿真验证了算法的有效性。