潜在电路分析中的拓扑模式识别算法研究

在网络树拓扑识别理论的分析方法与算法基础上 ,推导出网络树特定的五种基本拓扑模式识别的工程算法 ,以解决计算机对电路网络树进行自动拓扑识别问题。     

火箭靶弹零升阻力系数辨识

火箭靶弹无控飞行过程中飞行攻角较小且无法准确模拟,为提高靶弹弹道理论预估精度,弹道理论计算可假定飞行攻角为零,将飞行攻角产生的诱导阻力贡献折算为对零升阻力系数的修正。建立了火箭靶弹气动特性工程计算方法,针对火箭靶弹零升阻力系数计算模型不确定性问题,利用火箭靶弹A飞行试验GPS遥测数据对其零升阻力系数进行了参数辨识,基于辨识结果对火箭靶弹零升阻力系数工程计算方法进行了修正。经火箭靶弹B飞行试验结果验证,由于综合考虑了飞行攻角产生的诱导阻力贡献,采用修正后的零升阻力系数,弹道理论预估精度大大提高,满足工程要求。     

航天器环境干扰力矩的闭环辨识与补偿

研究引入干扰力矩辨识的方法提高三轴稳定航天器在稳态运行期间的高精度指向控制问题.基于航天器的稳态输出数据和系统传递函数,对环境干扰力矩的完整模型进行闭环辨识.其中采用改进的特征系统实现相关算法和多元线性回归法辨识环境干扰力矩的模型参数,最后使用前馈控制对所辨识的环境干扰力矩实现在线补偿.分析和仿真结果表明,该方案能有效地克服不确定的环境干扰力矩对姿态稳定度的影响,提高在轨运行航天器的姿态稳定精度.     

基于Hilbert-Huang变换的航天器发射段力学环境分析

文章基于Hilbert-Huang变换,对某载人航天器发射过程中整流罩分离期间测量的力学环境参数进行处理分析,利用HHT的基函数自适应性特点,得到振动时间历程信号的时频域Hilbert谱,准确识别出信号主频率及对应时间范围。此应用案例可为地面力学试验条件制定以及运载接口条件确定提供参考。     

涡轴发动机高速两支点转子不平衡识别

针对实际工作中的涡轴发动机不平衡量难以监控现状,提出了一种基于非线性支承参数的涡轴发动机高速两支点转子不平量识别方法。建立起转子动力学有限元模型,以支承位移响应工频信号有效值为目标,采用Pointer优化器开展不平衡量识别,通过反馈迭代识别油膜阻尼、刚度。以某真实发动机转子的不平衡量开展识别验证,识别结果符合实际转子不平衡量变化规律,该识别方法计算效率满足工程要求,为发动机整机振动响应仿真分析中的不平衡量施加提供输入条件。     

基于信息可信度的空中目标识别方法

目标识别是态势评估和威胁估计的基础,是作战指挥辅助决策的重要依据,是防空作战的关键环节之一.将雷达信息可信度扩展到传感器信息可信度,并基于扩展内涵的目标识别信息可信度,提出一种应用对空侦察雷达、光学器材、ESM传感器的空中目标识别方法,完成干扰条件下空中目标识别模块的设计.该方法依靠目标识别信息可信度较高的传感器信息来做出全局判决,有助于提高整个系统目标识别的可靠性.     

数字水印防伪技术的研究和应用

本文采用数字水印技术,研究和开发了一种新的证件制作与检测方法技术体系,防伪性能高、识别准确快速。该项技术可广泛应用于证件和产品的防伪,具有极高的理论价值和实用价值。     

Accuracy enhancement of the spherical actuator with a two-level geometric calibration method

This paper presents a two-level geometric calibration method for the permanent magnet （PM） spherical actuator to improve its motion control accuracy. The proposed actuator is com- posed of a stator with circumferential coils and a rotor with multiple PM poles. Due to the assembly and fabrication errors, the real geometric parameters of the actuator will deviate from their design values. Hence, the identification of such errors is critical for the motion control tasks. A two-level geometric calibration approach is proposed to identify such errors. In the first level, the calibration model is formulated based on the differential form of the kinematic equation, which is to identify the geometric errors in the spherical joint. In the second level, the calibration model is formulated based on the differential form of torque formula, which is to calibrate the geometric parameters of the magnetization axes of PM poles and coils axes. To demonstrate the robustness and availability of the calibration algorithm, simulations are conducted. The results have shown that the proposed two-level calibration method can effectively compensate the geometric parameter errors and improve the positioning accuracy of the spherical actuator.     

小型无人机气动参数辨识的新型HGAPSO算法

针对小型无人机(UAVs)研制中操稳特性和飞行控制律设计评估对气动参数辨识的需求,提出了一种混合遗传粒子群优化算法(HGAPSO)。该算法以粒子群优化算法(PSO)为主体,在粒子优化路径中,引入遗传算法(GA)的交叉变异操作,增强粒子群跳出局部最优的能力;同时采用Kent映射改进粒子种群的初始化,使初始种群在可行解空间内分布更加均匀,增强全局优化能力。基于仿真结果,依据辨识准度及辨识成功率,对比了HGAPSO、常规PSO和GA优化算法气动参数辨识的结果,然后用蒙特卡洛仿真测试随机观测噪声的影响,结果表明该算法兼备PSO算法高的搜索效率和GA算法的全局优化能力,对随机观测噪声不敏感。最后,通过设计小型UAV试飞示例进行综合应用评价,结果表明:HGAPSO算法基于真实试飞数据进行气动参数辨识取得了满意结果,具有良好的实用性。     

Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization

Ti₂AlNb intermetallic alloy is a relatively newly developed high-temperature-resistant structural material, which is expected to replace nickel-based super alloys for thermally and mechanically stressed components in aeronautic and automotive engines due to its excellent mechanical properties and high strength retention at elevated temperature. The aim of this work is to present a fast and reliable methodology of inverse identification of constitutive model parameters directly from cutting experiments. FE-machining simulations implemented with a modified Johnson-Cook (TANH) constitutive model are performed to establish the robust link between observables and constitutive parameters. A series of orthogonal cutting experiments with varied cutting parameters is carried out to allow an exact comparison to the 2D FE-simulations. A cooperative particle swarm optimization algorithm is developed and implemented into the Matlab programs to identify the enormous constitutive parameters. Results show that the simulation observables (i.e., cutting forces, chip morphologies, cutting temperature) implemented with the identified optimal material constants have high consistency with those obtained from experiments, which illustrates that the FE-machining models using the identified parameters obtained from the proposed methodology could be predicted in a close agreement to the experiments. Considering the wide range of the applied unknown parameters number, the proposed inverse methodology of identifying constitutive equations shows excellent prospect, and it can be used for other newly developed metal materials.