State of art on energy management strategy for hybrid-powered unmanned aerial vehicle

New energy sources such as solar energy and hydrogen energy have been applied to the Unmanned Aerial Vehicle(UAV), which could be formed as the hybrid power sources due to the requirement of miniaturization, lightweight, and environmental protection issue for UAV. Hybrid electrical propulsion technology has been used in UAV and it further enforces this trend for the evolution to the Hybrid-Powered System(HPS). In order to realize long endurance flight mission and improve the energy efficiency of UAV, many researching works are focused on the Energy Management Strategy(EMS) of the HPS with digital simulation, ground demonstration platforms and a few flight tests for the UAV in recent years. energy management strategy, in which off-line or on-line control algorithms acted as the core part, could optimize dynamic electrical power distribution further and directly affect the efficiency and fuel economy of hybrid-powered system onboard.In order to give the guideline for this emerging technology for UAV, this paper presents a review of the topic highlighting energy optimal management strategies of UAV. The characteristics of typical new energy sources applied in UAV are summarized firstly, and then the classification and analysis of the architecture for hybrid power systems in UAV are presented. In the context of new energy sources and configuration of energy system, a comprehensive comparison and analysis for the state of art of EMS are presented, and the various levels of complexity and accuracy of EMS are considered in terms of real time, computational burden and optimization performance based on the optimal control and operational modes of UAV. Finally, the tendency and challenges of energy management strategy applied to the UAV have been forecasted.     

新型运载火箭低温加注工艺流程及控制策略研究

运载火箭的不断更新换代,对科学的加注工艺提出了更高的要求。以某新型火箭液氧低温加注系统为研究对象,依据低温推进剂的加注结构特点,设计了液氧低温加注工艺流程及相应的控制策略,即以流量为控制目标的PID-DMC串级控制算法。采用分层控制策略,科学合理地通过调节阀门开关控制储罐压力大小,最终达到控制复杂加注系统的目的,并将其应用于某加注任务实践,取得了较好的效果,有效地提高了加注系统的可靠性、安全性。研究结果对新型火箭加注及决策具有实际指导作用。     

基于北斗短报文的远程图像通信系统设计

北斗短报文功能在国防、民生和应急救援等领域都具有很强的应用价值。利用北斗短报文通信费用低廉的优点，设计了一款可进行远程图像传输的系统。针对北斗短报文通信的局限性，提出了相应的数据传输机制以保证远程数据传输的可靠性与有效性，并对系统功能进行了验证。测试结果表明，系统能够较快地完成图像数据传输的功能。     

随机追踪策略预测钟差的理论分析

稳健流逝性是时间区别于其它物理量的重要特征，决定了时间计量的滞后性。为了保障未来时刻的准确性，时间信号的预测及控制尤为关键。从理论视角分析了随机追踪策略的基本原理、预测不确定度以及关键参数优化等问题，明确了随机追踪预测钟差的运行机理，并进一步阐述了该方法的适用性，同时提出两点进一步改进的研究思路。     

Detumbling strategy based on friction control of dual-arm space robot for capturing tumbling target

The rotational motion of a tumbling target brings great challenges to space robot on successfully capturing the tumbling target. Therefore, it is necessary to reduce the target’s rotation to a rate at which capture can be accomplished by the space robot. In this paper, a detumbling strategy based on friction control of dual-arm space robot for capturing tumbling target is proposed. This strategy can reduce the target’s rotational velocity while maintaining base attitude stability through the establishment of the rotation attenuation controller and base attitude adjustment controller. The rotation attenuation controller adopts the multi-space hybrid impedance control method to control the friction precisely. The base attitude adjustment controller applies the dual-arm extended Jacobian matrix to stabilize the base attitude. The main contributions of this paper are as follows: (1) The compliant control method is adopted to achieve a precise friction control, which can reduce the target angular velocity steadily; (2) The dual-arm extended Jacobian matrix is applied to stabilize the base attitude without affecting the target capture task; (3) The detumbling strategy of dual-arm space robot is designed considering base attitude stabilization, realizing coordinated planning of the base attitude and the arms. The strategy is verified by a dual-arm space robot with two 7-DOF (degrees of freedom) arms. Simulation results show that, target with a rotation velocity of 20 (°)/s can be effectively controlled to stop within 30 s, and the final deflection of the base attitude is less than 0.15° without affecting the target capture task, verifying the correctness and effectiveness of the strategy. Except to the tumbling target capture task, the control strategy can also be applied to other typical on-orbit operation tasks such as space debris removal and spacecraft maintenance.     

Hypersonic vehicle aerodynamic design using modified sequential approximate optimization

Hypersonic vehicles are receiving increased attention within the aerospace community due to their high cruise speed and long-range capabilities. In this paper, a modified Sequential Approximate Optimization method is proposed for an optimized aerodynamic design of a hypersonic vehicle. As part of this approach, a constrained experimental design method is developed to handle the constraints more efficiently. A radial basis function is used to surrogate time-consuming CFD analysis. An efficient and more robust numerical mesh morphing scheme for the hypersonic vehicle is developed for the generation of high-quality meshes. Within this paper, a novel adaptive infilling strategy is proposed which uses an inaccurate search technique coupled with an elite archive. This allows the location of a more promising sample region and hence improves the surrogate accuracy, thereby further enhancing the optimization efficiency. A hypersonic vehicle aerodynamic design problem is solved using the proposed approach and satisfactory results are obtained at much lower computational costs. The lift-to-drag ratio is increased by 23.8% when compared with the base configuration while also satisfying the volume and lift constraints. The pressure and Mach contours have been compared with those of the base configuration and the results demonstrate the strength of the optimized configuration. The modified sequential approximate optimization for designing an improved hypersonic vehicle is worth referencing in future work.     

机器人系统跟踪控制的一种新策略

 本文研究了多个机器人完成某物体的跟踪问题。提出了一种“主辅型”控制策略。这种控制策略具有自组织性质,它自动地解决了机器人系统控制的不唯一性、自相矛盾的可能性,保证了各机器人间的合作与谐调。仿真结果表明跟gr误差极小。     

因特网环境中英语阅读自主性的培养

随着因特网在信息领域的迅速发展,网络给英语学习者提供了无可计量的、生动的、真实的英语阅读材料。分析网络英语资源和自主阅读的特点,探讨如何充分利用网络,培养学生英语阅读的自主能力。     

高职公共英语教学中的现存问题及策略研究

随着市场对职业人才的要求越来越高,英语素质在人才素质中的地位越来越凸显。而高职院校大部分学生目前对英语的掌握情况和运用能力却不容乐观。对高职公共英语教学中现存的问题进行探讨,并提出相应的对策,有利于提高公共英语的教学水平。     

基于自组织与LVQ神经网络的足球机器人协作策略学习

足球机器人系统目前已成为人工智能应用技术研究的重要实验平台，系统的核心部分就是决策子系统。本文主要研究机器人足球比赛中协作策略的学习问题，采用了自组织与学习向量量化（LVQ）神经网络算法实现了两个足球机器人的传球学习。提出了一种协作策略学习的改进算法。该算法通过对网络权值矩阵进行改进，可以显著提高网络的训练质量。仿真和实验结果表明了该方法的可行性与有效性。