基于反馈线性化的高速无人机自适应控制系统设计

高速无人机是典型的复杂非线性、参数不确定性系统,且各控制通道之间存在强耦合作用,这对飞行控制系统设计提出了严峻挑战。针对其非线性特性和耦合特性,采用精确反馈线性化理论将无人机动力学模型解耦为3个独立的子系统,即滚转、俯仰和偏航通道;应用模型参考自适应控制方法分别设计每个通道的姿态控制器。研究表明,上述线性化方法能够实现三通道解耦,所设计控制系统满足飞行控制性能要求,且对气动参数摄动和外部干扰具有较强的鲁棒性。     

基于灰关联层次分析法的无人机自修复控制策略评价

结合层次分析法(AHP)和灰关联度分析(GRA)法的优点,提出了一种灰关联层次分析(GRAH)综合评价方法,用于对无人机自修复控制策略进行评价。划分了无人机自修复控制策略的自修复等级,并与综合评价值统一起来,解决了不同自修复策略的修复效果评价标准问题;建立了自修复策略的评价指标体系,并给出了各指标的定义和计算公式;为了降低算法的复杂性,把一致性检验问题转化为一般的统计假设检验问题;构造了多专家判断矩阵和灰关联度矩阵,并给出了完整的GRAH评价模型。仿真结果表明,本文提出的GRAH综合评价法具有满意的准确性和可靠性。     

UAV navigation in high dynamic environments: A deep reinforcement learning approach

Unmanned Aerial Vehicle (UAV) navigation is aimed at guiding a UAV to the desired destinations along a collision-free and efficient path without human interventions, and it plays a crucial role in autonomous missions in harsh environments. The recently emerging Deep Reinforcement Learning (DRL) methods have shown promise for addressing the UAV navigation problem, but most of these methods cannot converge due to the massive amounts of interactive data when a UAV is navigating in high dynamic environments, where there are numerous obstacles moving fast. In this work, we propose an improved DRL-based method to tackle these fundamental limitations. To be specific, we develop a distributed DRL framework to decompose the UAV navigation task into two simpler sub-tasks, each of which is solved through the designed Long Short-Term Memory (LSTM) based DRL network by using only part of the interactive data. Furthermore, a clipped DRL loss function is proposed to closely stack the two sub-solutions into one integral for the UAV navigation problem. Extensive simulation results are provided to corroborate the superiority of the proposed method in terms of the convergence and effectiveness compared with those of the state-of-the-art DRL methods.     

Aerodynamic performance of owl-like airfoil undergoing bio-inspired flapping kinematics

Natural flyers have extraordinary flight skills and their prominent aerodynamic performance has attracted a lot of attention. However, the aerodynamic mechanism of birds' flapping wing kinematics still lacks in-depth understanding. In this paper, the aerodynamic performance of owl-like airfoil undergoing bio-inspired flapping kinematics extracted from a free-flying owl wing has been numerically investigated. The overset mesh technique is used to deal with the large range movements of flapping airfoils. The bio-inspired kinematics consist of plunging and pitching movement. A pure sinusoidal motion and a defined motion composed of plunging of sinusoidal motion and pitching of the bio-inspired kinematics are selected for comparison. The other two NACA airfoils are also selected to figure out the advantages of the owl-like airfoil. It is found that the cambered owl-like airfoil can enhance lift during the downstroke. The bio-inspired kinematics have an obvious advantage in lift generation with a presence of higher peak lift and positive lift over a wider proportion of the flapping cycle. Meanwhile, the bio-inspired motion is more economical for a lower power consumption compared with the sinusoidal motion. The sinusoidal flapping motion is better for thrust generation for a higher peak thrust value in both upstroke and downstroke, while the bio-inspired kinematics mainly generate thrust during the downstroke but produce more drag during the upstroke. The defined motion has similar lift performance with the bio-inspired kinematics, while it consumes more energy and generates less thrust. The unsteady flow field around airfoils is also analyzed to explain the corresponding phenomenon. The research in this paper is helpful to understand the flight mechanism of birds and to design a micro air vehicle with higher performance.     

Reentry trajectory optimization for hypersonic vehicle satisfying complex constraints

The reentry trajectory optimization for hypersonic vehicle（HV）is a current problem of great interest.Some complex constraints,such as waypoints for reconnaissance and no-fly zones for threat avoidance,are inevitably involved in a global strike mission.Of the many direct methods,Gauss pseudospectral method（GPM）has been demonstrated as an effective tool to solve the trajectory optimization problem with typical constraints.However,a series of diffculties arises for complex constraints,such as the uncertainty of passage time for waypoints and the inaccuracy of approximate trajectory near no-fly zones.The research herein proposes a multi-phase technique based on the GPM to generate an optimal reentry trajectory for HV satisfying waypoint and nofly zone constraints.Three kinds of specifc breaks are introduced to divide the full trajectory into multiple phases.The continuity conditions are presented to ensure a smooth connection between each pair of phases.Numerical examples for reentry trajectory optimization in free-space flight and with complex constraints are used to demonstrate the proposed technique.Simulation results show the feasible application of multi-phase technique in reentry trajectory optimization with waypoint and no-fly zone constraints.     

有翼再入飞行器的超/高超声速气动力工程方法

有翼再入飞行器气动力的工程计算方法尚有待进一步完善,计算精度有待进一步提高。文章根据有翼再入飞行器的气动布局特点,改进和发展了一套适于其气动布局的部件划分策略和压强计算选取准则。以此对航天飞机轨道器和类X-34飞行器的纵向气动力特性进行工程计算,并与其风洞试验和数值模拟结果进行对比分析。结果表明,文中的工程计算方法在马赫数3以上的超/高超声速范围内可准确预测有翼再入飞行器的升阻特性,其中升力系数和阻力系数误差小于10%;并可准确预测俯仰力矩特性随迎角改变的变化规律。与现有方法相比,文中的部件划分策略和压强计算选取准则在升阻特性精度相当情况下,可明显提高俯仰力矩的预测精度,并反映飞行器表面的压强分布特征。     

激光等离子体减阻技术研究进展

利用激光等离子体减小高超声速飞行器的气动阻力对节能和最大限度地提高飞行器性能具有重要的意义。简单概述了高超声速飞行器的军事需求及等离子体减阻技术的分类;总结了激光等离子体减阻机理的实验研究和数值模拟情况;讨论了等离子体能量、点火位置和形状等参数对减阻性能的影响,目前利用激光等离子体技术可以减小70%的波阻。针对中国的激光等离子体减阻研究工作,分析了目前国内外研究中存在的问题,提出了深入开展激光等离子体减阻机理研究等建议。     

水下固体火箭发动机的推力特性

在微观层面上对火箭发动机射流结构变化对推力的影响规律进行分析研究.采用轴对称模型对不同工况下的二维发动机模型进行数值模拟,获取推力振荡曲线,并研究不同阶段的推力变化,探究推力峰值与断裂的对应关系及推力振荡幅值与频率随工作环境变化的关系.研究结果表明:推力振荡产生的原因是射流在激波诱导下产生周期性颈缩;由于胀股及回击破碎的作用,水下射流推力存在多阶频率峰值;根据胀股主要处于中频段的重要结论对前4阶频率的研究表明射流回击与胀股具有相关性.      

高超声速飞行器推进系统建模

为在高超声速飞行器设计初期快速地获得推力和推力矩,以满足控制相关分析和建模需要.提出一种推进系统建模方法,基于激波/膨胀波相交理论来建模与机身耦合的进气道模型;用有摩擦变截面加热管来描述双模态燃烧室;将内喷管建模成一维变截面摩擦管,采用动量定理估算推力,并通过曲线拟合得到推力的解析表达式.与CFD计算结果相比,该模型计算得到双模态冲压发动机入口气流马赫数和温度误差小于5%,压强误差小于10%;计算得到的推力随马赫数、燃油当量比和迎角的增大而增加,随高度增加而减小,单个状态平均计算时间小于0.5s.计算结果表明:该建模方法满足面向控制建模的效率和精度需求,有助于此类飞行器设计初期的动力学和控制相关的分析和设计.      

应用保护映射理论的高超声速飞行器自适应控制律设计

针对高超声速飞行器包线范围广、参数变化大的控制需求,应用保护映射理论提出一种高超声速飞行器的自适应控制律设计方法。首先建立整个飞行包线内的线性变参数(LPV)模型,在参数变化边界点设计一个初始的控制结构和参数,然后基于保护映射理论分析初始控制结构使闭环系统稳定的参数范围,通过迭代自动获取整个包线内满足性能指标的控制参数,进而通过多项式拟合设计出高超声速飞行器自适应控制律。所提出的方法能够根据初始控制结构自动寻找一系列满足性能要求的控制器参数,并确定这些控制参数满足闭环系统稳定的设计范围。仿真结果表明,所设计的自适应控制律能够确保高超声速飞行器大包线的设计要求,实现闭环系统的鲁棒稳定。