Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork

Unmanned Aerial Vehicles (UAVs) are useful in dangerous and dynamic tasks such as search-and-rescue, forest surveillance, and anti-terrorist operations. These tasks can be solved better through the collaboration of multiple UAVs under human supervision. However, it is still difficult for human to monitor, understand, predict and control the behaviors of the UAVs due to the task complexity as well as the black-box machine learning and planning algorithms being used. In this paper, the coactive design method is adopted to analyze the cognitive capabilities required for the tasks and design the interdependencies among the heterogeneous teammates of UAVs or human for coherent collaboration. Then, an agent-based task planner is proposed to automatically decompose a complex task into a sequence of explainable subtasks under constrains of resources, execution time, social rules and costs. Besides, a deep reinforcement learning approach is designed for the UAVs to learn optimal policies of a flocking behavior and a path planner that are easy for the human operator to understand and control. Finally, a mixed-initiative action selection mechanism is used to evaluate the learned policies as well as the human’s decisions. Experimental results demonstrate the effectiveness of the proposed methods.     

Optimization and verification of free flight separation similarity law in high-speed wind tunnel

Based on the similarity of separation time, a similarity law optimization method for high-speed weapon delivery test is derived. The typical separation state under wind load is simulated by the numerical method. The real separation data of aircraft, separation data of previous test methods, separation data of ideal wind tunnel test of previous methods, and simulation data of the proposed optimization method are obtained. A comparison of the data shows that the method proposed can improve the performance of tracking. Similarity law optimization starts with the development of motion equations and dynamic equations in the windless state to address the problems of mismatching between vertical and horizontal displacement, and to address the problems of separation trajectory distortion caused by insufficient gravity acceleration of the scaling model of existing light model. The ejection velocity of the model is taken as a factor/vector, and is adjusted reasonably to compensate the linear displacement insufficiency caused by the insufficient vertical acceleration of the light model method, so as to ensure the matching of the vertical and horizontal displacement of the projectile, and to improve the consistency between the test results of high-speed projection and the actual separation trajectory. The optimized similarity law is applicable to many existing free-throwing modes of high-speed wind tunnels. The optimized similarity law is not affected by the ejection velocity and hanging mode of the projectile. The optimized similarity law is suitable not only for the launching of the buried ammunition compartment and external stores, but also for the test design of projectile launching and gravity separation.     

基于拓扑优化和形状优化的桨叶结构设计

直升机旋翼桨叶剖面结构设计是研究旋翼动力学设计的基础。提出一种联合拓扑优化和形状优化的 两级优化设计方法,可用于桨叶剖面结构的设计。第一级优化以变密度法(SIMP)作为拓扑优化的材料插值方 法,以桨叶体积最小化为设计目标,约束桨叶节点位移和应力,建立桨叶的拓扑优化求解模型;第二级优化以重 构的桨叶模型为基础开展形状优化,降低局部应力集中以及找到合理的边界节点位置。对优化后的模型进行 有限元分析,结果表明:通过拓扑优化和形状优化的两级优化,能够得到满足强度和稳定性要求的结构布局,为 桨叶结构设计提供指导方案。     

汽车双横臂独立悬架参数优化与仿真研究

针对国内某轿车双横臂独立悬架系统，运用ADMAS／View模块建立了双横臂式悬架模型，利用ADMAS／Insight模块对建立的双横臂式独立悬架进行了优化分析。优化结果分析表明：通过悬架参数优化设计，使前悬架性能有了较大的提高。     

Method of virtual trajectories for the design of gravity assisted missions

A method of virtual trajectories is proposed for the design of multiple gravity assist trajectories. The method comprises two principal stages. First, for a chosen planetary sequence, a database of virtual trajectories is tabulated. Then the database screening and refinement are performed. The design of trajectory to Jupiter is presented.     

试验数据管理系统的需求与实现

现在的工程试验产生大量的试验数据,而这些试验数据在储存和使用中存在着大量的问题。试验数据管理系统(TDM)通过梳理和优化试验流程,可以提高试验数据的利用率。     

高职模具专业学生塑料模CAD辅助设计能力的培养

运用CAD辅助设计塑料模具,是现代模具设计员必须具备的技能之一。针对许多高职模具专业毕业生该项技能薄弱的现象,分析在培养学生该项能力过程中所存在的问题,提出提高学生塑料模CAD设计能力的具体措施。     

Mechanism parameters optimization of bionic frog jumping robot based on velocity directional manipulability measure

以速度方向可操作度作为跳跃性能的评价指标,从机构设计角度寻求改善仿蛙跳跃机器人跳跃性能的方法.在仿蛙跳跃机器人机构模型的基础上,建立了起跳阶段的运动学方程,得到机器人从关节空间到质心运动空间的速度映射关系,结合速度方向可操作度,利用优化算法对仿蛙跳跃机器人的机构参数进行优化,使机器人的跳跃性能达到最佳.优化结果表明,运用速度方向可操作度理论,对跳跃机器人机构参数进行优化研究是有效可行的.     

共形光学系统设计研究

共形光学整流罩在保证了光学指标的前提下,与后端的其他结构外形轮廓平滑连接,从而提高了飞行器空气动力学的性能,在航空航天领域具有重要的应用价值。然而,采用特殊面型的整流罩给共形光学系统的像差校正以及加工、检测方面带来了极大的挑战。本文首先分析了共形整流罩像差特性,并在此基础上介绍了两种典型的光学设计。     

相变光盘多层膜系结构的最佳光匹配研究

论述了相变光盘最佳膜系结构的设计。采用导纳矩阵法计算膜系的能量反射率，用量优化计算方法编程计算，提出了第二大极值解作为在工艺上可行的实用光盘的膜系结构，并按这种膜系结构制作样品，其擦写循环数达１００万次上。