基于实时解空间的三维声源定位

提出了一种基于实时解空间库的快速三维声源定位算法。该算法使用来自四个声传感器 ,一个风速传感器和一个风向传感器的信号能够准确快速地计算出声源的位置。     

弹载惯测组合加速度计振动响应影响因素研究

针对弹载惯测组合加速度计面临振动环境下测量精度超差问题,构建弹体-惯测组合的两自由度动力学分析模型,配合有限元仿真手段,从全弹结构和惯测组合内部结构两部分进行分析.研究了减振垫刚度、惯测组合内部架构固有频率特性以及加速度计布局等因素对弹载惯测组合振动响应的影响机理.提出的设计准则包括:降低减振垫刚度有利于减小加速度计的...     

Nacelle-airframe integration design method for blended-wing-body transport with podded engines

Strong shock waves and flow separation often occur during the integration of nacelle and airframe for blended-wing-bodies with podded engines. To address this problem, this paper presents an integration method with numerical simulations. The philosophy of channeling flow and avoiding the throat effect on the nacelle and airframe is established based on the analysis of flow interference in the initial configuration. A parametric integration design method is proposed from twodimensional plane to three-dimensional space with control mechanisms and selection principles of the key parameters determined by their influences. Results show that strong shock waves and flow separation can be successfully eliminated under the influence of both the reshaped channel and decelerated inflow below the nacelle. Supersonic regions around the nacelle are effectively reduced, concentrating mainly on the lip position. Thus, a significant cruise drag reduction(8.7%) is achieved though the pressure drag of the nacelle increases.     

Finite-time relative orbit-attitude tracking control for multi-spacecraft with collision avoidance and changing network topologies

This paper addresses the relative position tracking and attitude synchronization control problem for spacecraft formation flying (SFF). Based on the derived relative coupled six-degree-of-freedom dynamics, a robust adaptive finite-time fast terminal sliding mode controller is proposed to achieve the desired formation in the presence of model uncertainties and external disturbances. It is shown that the designed controller is effective for changing information exchange topology making it robust to node failure. Then, the artificial potential function method is employed to generate collision avoidance schemes to modify the controller such that inter-agent collision avoidance can be ensured during the formation maneuver, which is critical for practical missions. The stability of the overall closed-loop system is proved by using Lyapunov theory. Finally, numerical examples for a given SFF scenario are presented to illustrate the performance of the controller.     

Adaptive fuzzy neural network control for a space manipulator in the presence of output constraints and input nonlinearities

Space manipulator is considered as one of the most promising technologies for future space activities owing to its important role in various on-orbit serving missions. In this paper, a novel adaptive fuzzy neural network (FNN) control scheme is proposed for the trajectory tracking control of an attitude-controlled free-flying space manipulator in the presence of output constraints and input nonlinearities. The parametric uncertainties and external disturbances are also taken into the consideration. First, a model-based controller is designed by using the barrier Lyapunov function (BLF) to prevent the position tracking errors from violating the predefined output constraints. Then, an adaptive FNN controller is designed by using two FNNs to compensate for the lumped uncertainties and input nonlinearities, respectively. Rigorous theoretical analysis for the semiglobal uniform ultimate boundedness of the whole closed-loop system is provided. The proposed adaptive FNN controller can guarantee the position and velocity tracking errors converge to the small neighborhoods about zero, while ensuring the position tracking errors within the output constraints even in the presence of input nonlinearities. To the best of the authors’ knowledge, there are relatively few existing controllers can achieve such excellent control performance in the same conditions. Numerical simulations illustrate the effectiveness and superiority of the proposed control scheme.     

小天体主动附着制导与控制技术研究进展

结合目前已实施的小天体附着探测任务,对小天体探测器主动附着涉及的制导与控制技术进行了系统性的回顾。首先,针对小天体附着任务风险高、不确定性强的特点,明确了主动附着的内涵,并分析了现有附着探测技术在自主性和安全性上面临的挑战,阐述了提高探测器主动附着能力的重要性。在此基础上,归纳梳理了与主动附着相关的制导与控制技术最新研究进展。最后,结合未来小天体探测任务需求,总结了今后具有进一步研究价值的几个问题。     

水下复杂环境下基于SINS/USBL/DVL多源信息融合的组合导航算法

针对复杂水下声场环境下高精度、长航时导航与定位的需求,构建了捷联惯性导航系统(SINS)/超短基线(USBL)相对测量信息的观测方程和SINS/声学多普勒测速仪(DVL)的观测方程,提出了一种融合SINS/USBL/DVL多源信息的组合定位算法.为解决声学量测信息不确定引起的导航性能下降的问题,充分考虑水声野值所导致的...     

碟式斯特林发电系统性能分析模型与仿真

基于传热学、热力学、动力学、电学理论以及系统控制模型,建立了可用于碟式斯特林发电系统分析、设计、优化和控制的性能分析模型.模型包括太阳能聚光器、接收器、斯特林循环热力学、斯特林发动机机构动力学、起动/发电机等各子系统及相互作用关系,可分析系统从起动到全功率状态时的稳态性能和动态特性.使用该模型对碟式斯特林系统进行了仿真分析,结果表明,在发动机热端温度不变的控制条件下,系统一天内的输出电功率表现出与太阳直射强度类似的抛物形变化,系统效率变化较平稳;系统充气过程压力突增,在太阳直射强度不变的情况下,发动机热端温度下降,发电功率先增加一点,后随温度下降而下降.     

基于GPR模型的自适应平方根容积卡尔曼滤波算法

与传统算法一样,动态系统的参数化模型(含噪声统计特性)未知或不够准确易导致容积卡尔曼滤波(CKF)效果严重下降,甚至滤波结果发散.为此,利用高斯过程回归(GPR)方法对训练数据进行学习,得到动态系统的状态转移GPR模型和量测GPR模型以及噪声统计特性,用以替代或增强原有动态系统模型,并将其融入到平方根容积卡尔曼滤波(SRCKF)中,分别提出了无模型高斯过程SRCKF (MFGP-SRCKF)和模型增强高斯过程SRCKF (MEGP-SRCKF)两种算法.仿真结果表明:这两种新的自适应滤波算法提高了动态系统模型精度,且实时自适应调整噪声的协方差,克服了传统算法滤波性能易受系统模型限制的问题;与MFGP-SRCKF相比,在给定一个不够准确的参数化模型,且有限的训练数据未能遍布估计状态空间的情况下,MEGP-SRCKF具备更高的滤波精度.     

空战场全数字模拟电磁环境表示方法

战场电磁环境模拟是检验空基电子信息装备电磁环境适应性和在复杂电磁环境下作战能力的重要手段。针对空战场全数字模拟中电磁环境表征及建模问题,提出了基于实体环境和信号环境分类的电磁环境表示方法,从战场态势、传播环境和作战过程等三个方面对实体环境进行表示;从接收机前端信号环境、信号统计特性和信号环境平均功率密度等三方面对电磁信号环境进行了表示,并给出了仿真结果。