模糊自适应滤波在车载组合导航系统中的应用

文章针对车载GPS/DR组合导航系统工作环境复杂,其观测噪声相应复杂多变的特点,引入了一种基于模糊自适应控制的卡尔曼滤波算法。这一方法基于方差匹配的思想,通过模糊控制器在线调整观测噪声方差,以改变滤波器的自适应性,从而提高导航精度。文章最后对GPS/DR系统进行了仿真,结果表明采用此方法后的滤波精度优于常规Kal-man滤波的结果。     

利用VRML中粒子系统实现电磁波的可视化

为了便于战场指挥员全面、直观地观察战场上各种电磁设备所辐射的电磁信号及其参数特点,文章提出一种利用VRML中粒子系统来实现电磁波的可视化的方法。经实验证实此方法具有形象逼真、渲染速度快、实时性高等特点。     

简化UKF算法在SINS／GPS组合导航中的应用

针对SINS／GPS组合导航系统的特点,建立了系统的非线性误差模型。根据系统状态方程为非线性而观测方程为线性的特点,将一种简化的UKF方法（Rao-Blackwellisation Additive Unscented Kalman Filter,RBAUKF）用于SINS／GPS组合导航系统中,RBAUKF采用较少的采样点数目和简化的更新算法,降低了计算复杂度。最后,在机动条件下,进行了SINS／GPS组合导航实验仿真。仿真结果表明,RBAUKF相比EKF具有更高的滤波精度,更适合在SINS／GPS组合导航系统中应用。     

基于Unscented卡尔曼滤波器的地磁辅助组合导航

将船位推算与地磁测量相结合构成组合导航方法.首先建立了推算模型,然后利用Unscented卡尔曼滤波方法,直接将地磁测量的结果用于校正推算结果,进行导航定位.此方法不采用匹配方法进行定位,可进行实时定位,能适用于非线性和离散的地磁模型.仿真表明,此方法能减小定位误差,适用于基于船位推算和地磁定位的实时组合导航.     

卡尔曼滤波在潜艇垂直面运动控制器设计中的应用

潜艇低噪声操纵存在无效用舵现象。简要介绍了滤波信号的表示形式,在潜艇垂直面线性运动方程的基础上,得出了滤波信号的系统模型,并对其进行了离散化处理;将均方差最小线性递推滤波算法引入到输入信号的控制过程中,通过仿真证明对输入信号进行卡尔曼滤波能够提高输入信号的品质,用于工程应用。     

Two-dimensional numerical simulation and experiment on strongly nonlinear wave–body interactions

A constrained interpolation profile (CIP)-based Cartesian grid method for strongly nonlinear wave–body interaction problems is presented and validated by a newly designed experiment, which is performed in a two-dimensional wave channel. In the experiment, a floating body that has a rectangular section shape is used. A superstructure is installed on the deck and a small floating-body freeboard is adopted in order to easily obtain water-on-deck phenomena. A forced oscillation test in heave and a wave–body interaction test are carried out. The numerical simulation is performed by the CIP-based Cartesian grid method, which is described in this paper. The CIP scheme is applied in the Cartesian grid-based flow solver. New improvements of the method include an interface-capturing method that applies the tangent of hyperbola for interface capturing (THINC) scheme and a virtual particle method for the floating body. The efficiency of the THINC scheme is shown by a dam-breaking computation. Numerical simulations on the experimental problem for both the forced oscillation test and the wave–body interaction test are carried out, and the results are compared to the measurements. All of the comparisons are reasonably good. It is shown, based on the numerical examples, that the present CIP-based Cartesian grid method is an accurate and efficient method for predicting strongly nonlinear wave–body interactions.     

一种船舶电力滤波器的仿真研究

在小型船舶电力推进系统中,变频驱动产生了严重的谐波污染,导致电力系统的容量大大增加,恶化电网电能质量,甚至影响了船舶安全运行.针对电力推进船舶电网存在的谐波污染问题,设计了电力滤波器的拓扑结构,制定其控制策略,分析该滤波器的工作原理,并进行计算机仿真,验证了该滤波器的有效性.     

交通分配的粒子群优化算法

为了方便合理地分配交通量,提出了交通量多路径分配的粒子群优化算法。算法的求解方法是在粒子群算法中构造了路径条数维的粒子空间,每维对应一条可行性路线,其值为对应路径所分配的交通量;对粒子进行归一化处理,使交通量守恒,并进行交通量的多路径分配;根据目标函数评价与筛选粒子,直到满足终止条件。实例计算结果表明:利用粒子群算法得到的目标函数值最小,各路段分配的交通量没有超容量现象,模型求解过程具有方向性,对交通分配的网络规模无限制,因此,粒子群优化算法可行、合理。     

Quasi-dynamic estimation of o–d flows from traffic counts: Formulation,statistical validation and performance analysis on real data

The paper proposes a “quasi-dynamic” framework for estimation of origin–destination (o–d) flow from traffic counts, under the assumption that o–d shares are constant across a reference period, whilst total flows leaving each origin vary for each sub-period within the reference period. The advantage of this approach over conventional within-day dynamic estimators is that of reducing drastically the number of unknowns given the same set of observed time-varying traffic counts. Obviously, the gain in accuracy depends on how realistic is the underlying assumption that total demand levels vary more rapidly over time than o–d shares. Firstly, the paper proposes a theoretical specification of the quasi-dynamic estimator. Subsequently, it proposes empirical and statistical tests to check the quasi-dynamic assumption and then compares the performances of the quasi-dynamic estimator of o–d flows with both classical off-line simultaneous dynamic estimators and on-line recursive Kalman filter-based estimators. Experiments are carried out on the real test site of A4–A23 motorways in North-Eastern Italy. Results confirm the acceptability of the assumption of quasi-dynamic o–d flows, even under the hypothesis of constant distribution shares for the whole day and show that the quasi-dynamic estimator outperforms significantly the simultaneous estimator. Data also suggest that using the quasi-dynamic estimates instead of the simultaneous estimates as historical o–d flows improves significantly the performances of the Kalman filter, which strongly depends of the quality of the seed o–d flows. In addition, it is shown that the aggregation of quasi-dynamic o–d estimates across subsequent time slices represents also the most effective way to obtain o–d estimates for larger time horizons (e.g. hourly estimates). Finally, a validation based on an hold-out sample of link flows (i.e. counts not used as inputs in the o–d estimation/updating process) revealed the quasi-dynamic estimator to be overall more robust and effective with respect to the other tested estimators.     

多级嵌挤密实级配设计方法研究

以逐级填充理论和粒子干涉理论为设计依据,以贝雷法为设计和检验标准,提出了由集料主、次骨架结构形成的多级嵌挤密实级配(MDBG)的设计体系,包括粗集料级配设计、细集料级配设计、合成级配设计及贝雷法对设计级配的检验。在贝雷法级配设计的基础上,提出将混合料中0.075 mm筛孔通过率也作为检验指标,从而使贝雷法的控制指标更趋于完善;同时给出了适合于16型多级嵌挤密实级配(MDBG-16)的相应检验标准。