Proactive optimization of transmission power and 3D trajectory in UAV-assisted relay systems with mobile ground users

In this paper, an Unmanned Aerial Vehicle (UAV)-assisted relay communication system is studied, where a UAV is served as a flying relay to maintain a communication link between a mobile source node and a remote destination node. Specifically, an average outage probability minimization problem is formulated firstly, with the constraints on the transmission power of the source node, the maximum energy consumption budget, the transmission power, the speed and acceleration of the flying UAV relay. Next, the closed-form of outage probability is derived, under the hybrid line-of-sight and non-line-of-sight probability channel model. To deal with the formulated nonconvex optimization, a long-term proactive optimization mechanism is developed. In particular, firstly, an approximation for line-of-sight probability and a reformulation of the primal problem are given, respectively. Then, the reformulated problem is transformed into two subproblems: one is the transmission power optimization with given UAV’s trajectory and the other is the trajectory optimization with given transmission power allocation. Next, two subproblems are tackled via tailoring primal–dual subgradient method and successive convex approximation, respectively. Furthermore, a proactive optimization algorithm is proposed to jointly optimize the transmission power allocation and the three-dimensional trajectory. Finally, simulation results demonstrate the performance of the proposed algorithm under various parameter configurations.     

Do drones have a realistic place in a pandemic fight for delivering medical supplies in healthcare systems problems?

The advancement of Unmanned Aerial Vehicle (UAV) technology in terms of industrial processes and communication and networking technologies has led to an increase in their use in civil, business, and social applications. Global rules in most countries had previously limited the use of drones to military applications due to their deployment in the open air, drones are likely to be lost, destroyed, or physically hijacked. However, more recently, the presence of COVID-19 has forced the world to present new implementing measures which will also widen the use of drones in civil and commercial and social applications, especially now in the delivery of medicines for medical home care. In the period of required public isolation as a consequence of the SARS-COV-2 pandemic, this knowledge has become one of the principal partners in the fight against the coronavirus. This paper offers a summary of the medical drone manufacturing, with a specific emphasis on its approval by the pharmaceutical sector to solve logistical problems in healthcare during times of sensitive need. We also discuss the numerous challenges to be met in the integration of drones to save our lives and suggest future research directions. The question that arises for this problem, how to optimize delivery medical supplies times in-home health care made up of drones? We conducted a synthesis literature review devoted to the use of UAVs in healthcare with their different aspects. A total of different research made are given to describe the role of UAV in Home healthcare with the presence of SARS-COV-2. We conclude that the drones will be able to optimize the way of eliminating contamination with a very high percentage (through the reduction of human contact) with the increase of the flexibility of the flight (reaching the less accessible regions every hour of the day).     

Multi-disciplinary design optimization with fuzzy uncertainties and its application in hybrid rocket motor powered launch vehicle

In this paper, an Uncertainty-based Multi-disciplinary Design Optimization (UMDO) method combining with fuzzy theory and Multi-Discipline Feasible (MDF) method is developed for the conceptual design of a Hybrid Rocket Motor (HRM) powered Launch Vehicle (LV). In the method proposed, membership functions are used to represent the uncertain factors, the fuzzy statistical experiment is introduced to analyze the propagation of uncertainties, and means, standard deviations and credibility measures are used to delineate uncertain responses. A geometric programming problem is solved to verify the feasibility of the Fuzzy-based Multi-Discipline Feasible (F-MDF) method. A multi-disciplinary analysis of a three-stage HRM powered LV involving the disciplines of propulsion, structure, aerodynamics and trajectory is implemented, and the mathematical models corresponding to the F-MDF method and the MDF method are established. A two-phase optimization method is proposed for multi-disciplinary design optimization of the LV, including the orbital capacity optimization phase based on the Ziolkowski formula, and the scheme trajectory verification phase based on the 3-degree-of-freedom point trajectory simulation. The correlation coefficients and the quadratic Response Surface Method (RSM) based on Latin Hypercube Sampling (LHS) are adopted for sensitive analysis of uncertain factors, and the Multi-Island Genetic Algorithm (MIGA) is adopted as the optimization algorithm. The results show that the F-MDF method is applicable in LV conceptual design, and the design with the F-MDF method is more reliable and robust than that with the MDF method.     

时钟模型辅助的惯性/卫星紧组合导航算法研究

针对卫星信号受到遮挡或者干扰、卫星接收机收星数不足的问题,提出了一种时钟模型辅助的惯性/卫星紧组合导航算法。通过正常紧组合状态下的钟差、钟漂估计值建立钟差和钟漂的数学模型,在可见卫星少于4颗时,用时钟模型计算得到的钟差和钟漂作为系统钟差、钟漂的真实值引入观测信息中,并省去状态变量中的钟差和钟漂项,增加了系统的可观测性。最后,通过采集跑车试验数据进行了离线数据仿真试验。试验结果表明,提出的时钟模型辅助的惯性/卫星紧组合导航算法在可见卫星不足的情况下取得了良好的效果。     

微型无人直升机飞控系统的设计及其半实物仿真

介绍一种以DSP和CPLD作为硬件核心的微型无人直升机飞行控制系统,包括系统传感器数据采集电路、串口扩展电路、舵机控制电路、电源电路等硬件功能模块的设计和实现。在此基础上辅以传感器信息融合、姿态解算、飞行控制算法等系统软件。最后构建一个半实物仿真系统,仿真结果表明该飞控系统的可行性。     

基于DSP的总线式飞控系统

针对小型无人机控制系统对功耗、成本、可集成性等的较高要求,设计了一种基于DSP芯片TMS320F2812的总线式飞行控制系统。详细阐述了系统的设计思想及其基本硬件构成,包括采用DSP为处理单元的飞控计算机、采用低成本MEMS惯性器件的捷联式姿态航向基准系统(航姿仪)和提高通讯可靠性的双余度总线。飞行试验表明该系统满足小型无人机自主控制任务对于可靠性和精度的要求,同时也是一种轻型、低成本、高集成度的方案。     

磁窗的一种理论模型

本文简要地回顾了“磁窗”减轻再入通讯中断的机理。推导出线极化波,园极化波穿透磁等离子体薄层时,场量的传输矩阵。给出了功率反射系数及透射系数表达式。通过这种磁窗理论模型,模拟算出了为减轻或消除再入通讯中断所需要的磁场强度。并通过激波管上进行的磁窗模拟试验,证实了这一结论。     

弹性飞行器的传感器位置设计

为了消除飞行器的气动弹性与控制系统之间的互相影响,必须适当选择传感器的安装位置。用现代控制理论的方法研究了弹性飞行器传感器的平面设置,提出了带常参数的最优过程模型,建立了旨在抑制弹性振动的性能指标。把庞特里亚金极大值原理与样条拟合方法结合起来,得到了用于速率陀螺设置的简单公式。实例分析和计算表明,利用该方法所得的结果比根轧迹方法简单、准确。     

空天飞行器六自由度数学建模研究

研究了空天飞行器超声速和高超声速飞行条件下六自由度仿真模型,该模型包含了完整的六自由度动力学方程和运动方程。气动力和力矩系数是迎角、马赫数及控制舵面偏角的函数;发动机模型为吸气发动机和变推力火箭发动机的组合推进装置;飞行器的质心;惯性矩是飞行器质量的时变函数。所得结果可以用于未来高超声速飞行器或新一代单级入轨运载器轨迹优化、姿态控制等问题的概念设计和仿真研究。