共查询到20条相似文献，搜索用时 187 毫秒
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在大气和海洋环境研究中,粒子滤波(PF)由于在非线性数据同化方面突出的优势,逐渐成为研究热点。最近改进的均权重粒子滤波(EWPF)为粒子滤波的进一步发展指明了新方向。集合卡尔曼滤波方法 (EAKF)作为当前主要应用的数据同化方法,使用高斯假设和线性假设来解决非线性问题,然而对均权重粒子滤波方法和卡尔曼滤波方法在非线性模式下的同化结果和特点还缺少系统详细的比较研究。本文在非线性耦合气候模式下,比较研究两种同化方法,采用均方根误差(RMSE)作为评价比较标准。实验结果表明,在非线性低频观测耦合模式中EWPF结果均优于EAKF。同时根据RMSE的结果得出,EWPF的同化结果更接近观察结果,而EAKF的同化结果更接近模式真值。 相似文献
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针对带乘性噪声的一类非线性系统,给出了1种带单重渐消因子的强跟踪状态滤波算法。该算法将非线性系统线性化后,采用了线性最小方差估计方法来进行状态估计,通过运用正交原理和引入渐消因子,使得滤波效果具有强跟踪的优良性能。该算法扩展了卡尔曼滤波在带乘性噪声非线性系统状态估计中的应用范围。仿真结果表明了该算法的有效性。 相似文献
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针对多通道观测环境下带乘性噪声系统的最优滤波问题,提出了1种状态最优滤波的分部算法。分部估计方法将状态估计分解为标称滤波估计和余项估计2项相加的形式。该算法在线性最小方差意义下是最优的。仿真实例表明,分部算法的鲁棒性更强,对系统初值的改变具有更强的适应能力。 相似文献
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研究了大型导管架平台卧式建造时出现单边约束圆管的风致涡激振动问题。将建造过程中单边约束的导管架圆管简化成悬臂梁模型,采用van der Pol尾流振子模型模拟圆管受到的流体力,建立了圆管风致涡激振动动力学方程。使用伽辽金方法对建立的运动方程进行求解,数值分析了圆管在特定约化风速下的涡激振动特性。在圆管上附加非线性能量阱(NES)作为被动减振装置对圆管进行减振,并采用粒子群优化算法对NES的非线性刚度和阻尼参数进行了优化。结果表明,在约化速度为4.8时,得到的NES优化的非线性刚度和阻尼参数组合可以有效减小悬臂梁自由端风致涡激振动位移。本研究说明采用NES和粒子群优化算法可以有效减小圆管的风致涡激振动,为导管架安全建造提供一定的参考。 相似文献
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带边界约束的容积卡尔曼滤波 总被引：1，自引：0，他引：1
非线性系统的状态估计问题可以通过容积卡尔曼滤波解决,本文进一步针对非线性系统,提出了基于容积卡尔曼滤波和非线性动态数据融合算法的约束容积卡尔曼滤波方法,用以处理带边界约束的非线性系统的滤波。该滤波器使所有容积点均约束在边界之内,同时依据可相信程度确定相应的容积点权重,使滤波过程充分考虑状态约束的影响,提高滤波精度。但该算法的不足之处是运算量相对较大,随着计算机运算能力的提高,这一问题可以克服。仿真结果表明:相对于容积卡尔曼滤波算法,本算法敛速度更快、收敛精度更高,鲁棒性更好。 相似文献
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本文基于粒子滤波和三维变分设计了一种新的混合数据同化方法。新方法通过粒子滤波的最优估计生成具有背景误差信息的集合扰动,从而为三维变分提供流依赖的背景误差协方差。粒子退化一直是粒子滤波应用于数据同化领域的主要阻碍。为了让混合方法更好地发挥作用,针对粒子退化问题,本文提出了一种改进的残差重采样方法,通过在正态分布中采样粒子,解决了退化导致的粒子缺乏多样性。在理想lorenz-63模型上进行数据同化实验,结果表明,新方法在模型误差较大的情况下效果优于集合变换三维变分方法(ensemble transform Kalman filter-three-dimensional variational method,ETKF-3Dvar),并且随着模型误差不断增大,新方法也同样优于传统数据同化方法。改进的残差重采样在与分层重采样和一般残差重采样的对比实验中,在给定时间窗口内可以保证同化结果稳定,而其他两种方法的同化结果都出现了较大偏差。 相似文献
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我国的边际油田大多年产量小且开发年限短，周围没有可依托设施的油田。针对此情况，可采用“蜜蜂式”开发模式。针对浸没式可移动外输终端这一新型概念设计，选取关键工况开展了时域耦合分析，研究了系泊系统参数对可移动外输终端最大水平位移和系泊缆最大张力的影响。以可移动外输终端最大水平位移和系泊缆最大张力最小为优化目标，以系泊缆结构安全为约束条件，构建了系泊系统多目标优化模型。分别建立了基于NSGA-Ⅱ和多目标粒子群算法的系泊系统优化框架，并应用这两种算法对系泊系统进行了优化设计。结果表明，NSGA-Ⅱ和多目标粒子群算法均可以解决系泊系统多目标优化问题，粒子群算法优化速度快，但通过NSGA-Ⅱ得到的Pareto前沿优化性能更好，因此更适合开展浸没式可移动外输终端的系泊系统优化。 相似文献
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基于非线性滤波的水下地形辅助导航方法 总被引：1，自引：0，他引：1
为了解决水下航行器惯性导航误差随时间积累问题,利用地形辅助导航技术进行导航位置修正。由于水下地形的非线性,对基于扩展卡尔曼滤波(EKF)、无迹卡尔曼滤波(UKF)和粒子滤波(PF)3种非线性滤波方法的水下地形辅助导航算法进行研究。针对传统基于单波束声纳量测模型在小起伏地形区域导航精度低、易发散问题,从提高量测地形信息量角度,建立了基于多波束测深声纳的量测模型。使用多波束实测地形数据进行仿真试验,结果表明:无论在粗糙地形区域还是较平坦地形区域,多波束量测模型有效缓解了3种方法易发散问题,提高了导航精度。 相似文献
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A numerical method, based on a boundary integral equation combined with a non-linear time stepping procedure for the free water surface, is developed for simulations of the interaction between highly non-linear water waves and submerged horizontal cylinders. The method is based on potential theory, and the omission of viscous effects restricts the wave-structure interaction computations to low Keulegan-Carpenter numbers where inertia forces are dominant. The numerical scheme is verified by computations with a steep wave of exact form during several wave periods, and by computations of a breaking wave. A new method for tracing the orbits of water particles in the fluid domain is developed, and the influence from submerged structures on the orbits is visualized through several computational examples. The wave forces on submerged structures are computed and are found to correspond well with other computed results for low Keulegan-Carpenter numbers. 相似文献
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《Ocean Modelling》1999,1(2-4):71-80
Ocean general circulation models (OGCMs) which represent the governing equations on a finite difference grid require shorter time steps with increasing resolution. Thus, until now, in the absence of filtering, the time step length has been determined by the smallest grid spacing within the model domain. Here we present a method for reducing the time step length (and increasing the number of time steps taken) at selected points in the grid, so as to minimise the computational cost of integrating the OGCM, whilst achieving numerical stability throughout the model domain without filtering. This variable time stepping method can be used to overcome numerical constraints associated with the convergence of longitude–latitude grids at the poles, and also to allow efficient integration of model domains with variable resolution. Examples of the computational saving are given. 相似文献
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为了解决深海拖曳系统定位异常、不连续以及误差积累的问题,提出了一种联合惯性导航系统(INS)和超短基线定位系统(USBL)的组合定位方法,利用在航声线跟踪实现USBL的高精度定位,顾及INS和USBL系统的互补性,并结合Kalman滤波构建了INS+USBL的组合定位模型。将该组合定位模型应用于"向阳红01"船深海拖曳系统在南海的定位实验并与USBL的定位结果比对,实验表明,组合定位方法有效地解决了深拖系统定位异常且不连续问题。INS+USBL组合定位方法可以满足深海拖曳系统的稳健可靠定位,对于深远海定位具有重要意义。 相似文献
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重力辅助惯性导航的匹配算法初探 总被引：1，自引：0，他引：1
对重力辅助惯性导航技术的基本原理进行了分析,将采样卡尔曼滤波算法用于重力图形匹配。滤波通过设计少量的Σ点,并计算这些Σ点的经由非线性函数的传播,从而获得滤波值基于非线性状态方程的更新,较广义卡尔曼滤波具有计算精度高、便于计算的特点。 相似文献
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In this paper we propose an integral form of the fully non-linear Boussinesq equations in contravariant formulation, in which Christoffel symbols are avoided, in order to simulate wave transformation phenomena, wave breaking and nearshore currents in computational domains representing the complex morphology of real coastal regions. Following the approach proposed by Chen (2006), the motion equations retain the term related to the approximation to the second order of the vertical vorticity. A new Upwind Weighted Essentially Non-Oscillatory scheme for the solution of the fully non-linear Boussinesq equations on generalised curvilinear coordinate systems is proposed. The equations are rearranged in order to solve them by a high resolution hybrid finite volume–finite difference scheme. The conservative part of the above-mentioned equations, consisting of the convective terms and the terms related to the free surface elevation, is discretised by a high-order shock-capturing finite volume scheme in which an exact Riemann solver is involved; dispersive terms and the term related to the approximation to the second order of the vertical vorticity are discretised by a cell-centred finite difference scheme. The shock-capturing method makes it possible to intrinsically model the wave breaking, therefore no additional terms are needed to take into account the breaking related energy dissipation in the surf zone. The model is verified against several benchmark tests, and the results are compared with experimental, theoretical and alternative numerical solutions. 相似文献
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Prediction of wave parameters by using fuzzy logic approach 总被引：2，自引：0，他引：2
The purpose of this study is to investigate the relationship between wind speed, previous and current wave characteristics. It is expected that such a non-linear relationship includes some uncertainties. A fuzzy inference system employing fuzzy IF–THEN rules has an ability to deal with ill-defined and uncertain systems. Compared with traditional approaches, fuzzy logic is more efficient in linking the multiple inputs to a single output in a non-linear domain. In this paper, a sophisticated intelligent model, based on Takagi–Sugeno (TS) fuzzy modeling principles, was developed to predict the changes in wave characteristics such as significant wave height and zero up-crossing period due to the wind speed. Past measurements of significant wave height values and wind speed variables are used for training the adaptive model and it is then employed to predict the significant wave height amounts for future time intervals such as 1, 3, 6 and 12 h. The verification of the proposed model is achieved through the wave characteristics time series plots and various numerical error criterias. Also the model results were compared with classical Auto Regressive Moving Average with exogenous input (ARMAX) models. For the application of the proposed approach the offshore station located in the Pacific Ocean was used. 相似文献
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在各通道乘性噪声不同的情况下,针对多通道带乘性噪声非线性系统的状态估计问题,提出1种状态平滑算法。该算法运用扩展卡尔曼滤波方法先根据全部观测数据对状态进行滤波估计,并存储一步预测估计值和一步预测估计误差的方差,利用存储的数据进行递推运算,得到状态的固定域平滑估计。仿真结果表明平滑算法较滤波算法精确性更高,稳定性更强。 相似文献
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针对水下目标跟踪非线性跟踪精度问题,假设目标机动模型为恒转速运动模型,贝叶斯框架下,因扩展卡尔曼滤波跟踪方法进行模型在估计点的泰勒展开,忽略一阶以上高阶项,存在模型误差,比较了扩展卡尔曼滤波、无迹卡尔曼滤波、容积卡尔曼滤波在高斯噪声干扰下滤波误差均方根,以及3种方法运行时间。仿真证明,非线性系统下状态维度为5,容积卡尔曼滤波跟踪的精度高于无迹卡尔曼滤波,无迹卡尔曼滤波高于扩展卡尔曼滤波。该研究为海上目标非线性测量系统提供仿真实例,为进一步滤波算法改进提供基础。 相似文献
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A new scalar transport method is proposed to reduce computational time when a large number of scalars are transported in coupled hydrodynamic-ecosystem models. The new Local Mass Transport (LMT) method confines subtime transport computations to regions where the local Courant–Freidrichs–Lewy (CFL) number exceeds a given numerical stability criteria for a global (large) time step, but the method does not require either contiguous regions or special boundary algorithms between regions as used in previous Local Time Stepping (LTS) approaches. The new method uses conservative transport of mass rather than dissolved concentration. This approach allows different faces of a single grid cell to use different subtime steps. The new LMT method is further extended to include background filtering (LMTB) so that scalars below a pre-defined background concentration are ignored in transport calculations. This new approach can further reduce computational time where large regions are at or below an irrelevant background concentration. Both LMT and LMTB methods can be more computationally efficient than global subtime stepping. 相似文献