GPS的多尺度滤波算法研究

将基于模型的GPS动态系统分析方法与基于统计特性的多尺度信号变换方法相结合,在某一尺度上给定的单传感器单模型动态系统中建立起一个新的多尺度动态模型。基于建立的多尺度模型和常规Kalman滤波,提出一个能同时对随机信号进行多尺度分解与多尺度估计的新算法,并通过Haar小波仿真试验获得了比仅利用Kalman滤波更好的估计效...     

自修复飞控系统仿真平台研制

采用ＳＩＭＵＬＩＮＫ这种可视化、模块化和一体化的动态系统仿真软件，并与ＭＡＴＬＡＢ软件工具箱相结合，开发出自修复飞控系统仿真平台，解决了飞机的气动参数随飞行状态变化的问题，实现了飞机的全面运动仿真。该系统可根据自修复飞控系统的需要，进行飞机故障的加载，以及对故障进行检测、隔离和估计，然后完成飞行重构，具备完整的自修复飞控系统仿真功能。     

Decentralized adaptive sliding mode control of a space robot actuated by control moment gyroscopes

An adaptive sliding mode control(ASMC) law is proposed in decentralized scheme for trajectory tracking control of a new concept space robot.Each joint of the system is a free ball joint capable of rotating with three degrees of freedom(DOF).A cluster of control moment gyroscopes(CMGs) is mounted on each link and the base to actuate the system.The modified Rodrigues parameters(MRPs) are employed to describe the angular displacements,and the equations of motion are derived using Kane's equations.The controller for each link or the base is designed separately in decentralized scheme.The unknown disturbances,inertia parameter uncertainties and nonlinear uncertainties are classified as a ‘‘lumped" matched uncertainty with unknown upper bound,and a continuous sliding mode control(SMC) law is proposed,in which the control gain is tuned by the improved adaptation laws for the upper bound on norm of the uncertainty.A general amplification function is designed and incorporated in the adaptation laws to reduce the control error without conspicuously increasing the magnitude of the control input.Uniformly ultimate boundedness of the closed loop system is proved by Lyapunov's method.Simulation results based on a three-link system verify the effectiveness of the proposed controller.     

Scatter factor confidence interval estimate of least square maximum entropy quantile function for small samples

Classic maximum entropy quantile function method (CMEQFM) based on the probabil-ity weighted moments (PWMs) can accurately estimate the quantile function of random variable on small samples, but inaccurately on the very small samples. To overcome this weakness, least square maximum entropy quantile function method (LSMEQFM) and that with constraint condition (LSMEQFMCC) are proposed. To improve the confidence level of quantile function estimation, scatter factor method is combined with maximum entropy method to estimate the confidence inter-val of quantile function. From the comparisons of these methods about two common probability distributions and one engineering application, it is showed that CMEQFM can estimate the quan-tile function accurately on the small samples but inaccurately on the very small samples (10 sam-ples); LSMEQFM and LSMEQFMCC can be successfully applied to the very small samples;with consideration of the constraint condition on quantile function, LSMEQFMCC is more stable and computationally accurate than LSMEQFM; scatter factor confidence interval estimation method based on LSMEQFM or LSMEQFMCC has good estimation accuracy on the confidence interval of quantile function, and that based on LSMEQFMCC is the most stable and accurate method on the very small samples (10 samples).     

多站可变弧段直接最佳弹道估计

本文首先给出了较全面的外测多站处理计算模型,然后,选取实用的M估计方法估算参数;在解算线性模型过程中,采用了避免待估参数系数矩阵求逆的方法,它在工程应用上,是简捷、有效的。     

随机振动校准加速度计方法研究

介绍了随机振动校准加速度计系统的实现.使用随机信号传感器绝对校准方法,得到了较为理想的加速度计频响曲线.与传统的方法相比在保证校准精度的前提下,提高了效率.     

不同金属材料的扩散接合

扩散接合就是在适当的温度和压力下，使相互接触两金属表面间的氧化膜破裂，实现各元素在接合过程中相互扩散，从而达到接合目的。其接合强度与接合面积、原子结合强度有关。接合后存在残余应力起因于材料的热膨胀系数。     

气压膝关节下肢假肢的分析与研究

本文应用机构学、生物力学和流体力学等方面的理论，对气压膝关节大腿假肢进行了较为系统的分析和研究。在对实现假肢站立相稳定性和摆动相控制性分析的基础上，用平面多杆机构模拟大腿假肢的多中心膝机构，建立了该机构的力学模型，并进行了最优化方法设计；根据正常人体的步态数据，用气压控制装置来模拟假肢摆动相控制性，并达到良好效果；最后进行了假肢膝关节的结构设计。     

基于密度权重的可靠性灵敏度分析方法简

 为了提高可靠性灵敏度求解数字模拟法的效率,提出了一种变量空间确定性低偏差均匀抽样与样本点处联合概率密度函数构造权重相结合的方法,来估计可靠性灵敏度。该方法通过均匀样本点处联合概率密度函数的权重保证了可靠性灵敏度的估计值收敛于真值,而由低偏差抽样代替原问题中的联合概率密度抽样则可以保证更低的误差阶以及在小失效概率条件下抽得的样本有更高的可能性落入失效域,从而保证了所提方法具有更高的收敛速度。另外,所提方法可以采用与独立变量相同的步骤来估计相关变量情况下的可靠性灵敏度,计算简便,适用范围广。算例充分证明了所提方法的优越性。     

基于BP神经网络的软件项目成本估测方法

为进一步提高软件项目成本估测的准确度,减少在使用传统估测方法时产生的较大误差,提出了一种基于BP神经网络算法的软件项目成本估测模型。利用BP神经网络对软件项目成本进行估计,采用梯度下降自适应Ir的BP算法训练,仿真结果表明,基于算法的软件项目成本估测值与实际成本的偏差较小。