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排序方式: 共有1920条查询结果,搜索用时 156 毫秒
851.
852.
在飞机编队飞行时,成员间的相对位置信息是实现系统协同作战的重要保证,为了提高机群编队飞行的相对导航定位精度,在无地面基准的机群编队飞行JTIDS/GPS/TACAN/IFDL组合的相对导航系统中,采用交互式多模型扩展卡尔曼滤波(IMM-EKF)算法,设计实现了多传感器相对导航系统,克服了飞机动态模型参数变化导致使用单一动态模型滤波精度下降的问题。仿真分析结果表明,交互式多模型算法可以提高相对导航系统的定位精度和可靠性,特别在GPS可见卫星很少的情况下,依然能够具有良好的定位性能。 相似文献
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855.
针对非合作目标相对导航问题,为提高相对导航的精度和可靠性,采用双目视觉测量方法实现追踪器与目标器之间相对状态的测量,并基于鲁棒扩展卡尔曼滤波方法,提出了一种鲁棒相对导航滤波方法。仿真结果表明,该方法对相对导航系统模型中的不确定性具有良好的鲁棒性,且滤波精度较高。 相似文献
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857.
四旋翼无人机在军事和民用领域都有广泛的应用前景。然而,四旋翼无人机具有机载传感器准确性低与可靠性差、不同飞行条件下动力学模型差异大等特点。本文以四旋翼无人机为研究对象,系统地开展了飞行路径重构、频率域系统辨识、全飞行包线建模的相关研究工作。针对机载低成本传感器存在显著常值偏差与量测噪声统计学特性未知的缺点,采用基于EKF的飞行路径重构技术对在飞行试验中无人机的机体空速进行重构;针对不同飞行速度下四旋翼无人机动力学模型差异大的特点,采用频域法辨识得到不同飞行条件下的本体动力学模型;针对四旋翼无人机大跨域的高精度控制需求,利用模型拼接技术,系统性地提出了全飞行包线建模方案,经过验证,所提出模型拼接技术是准确可靠的。 相似文献
858.
The heat transfer in a novel smooth wedge-shaped cooling channel with lateral ejection of turbine blade trailing edge is experimentally investigated in both non-rotating and rotating cases. Beside the conventional inlet at the bottom of the channel, an extra coolant injection from 8 lateral non-equant holes is introduced to improve the overall heat transfer. The total mass flow rate ratio (lateral mass flow rate/total mass flow rate) varies from 0 to 1.0. The major inlet Reynolds number and rotation number respectively vary from 10000 to 20000 and from 0 to 1.16. Experimental results show that the lateral inlet decreases local bulk temperature and increases local heat transfer at the middle and the top of the static channel. In rotating cases, the lateral inlet notably improves the heat transfer at the high-radius half channel and compensates the negative effects induced by the rotation. Both intensity and uniformity of heat transfer inside the channel are enhanced while flow resistance decreases with proper mass flow rate ratio of coolant from two inlets. The most satisfactory total mass flow rate ratio is around 2/3. This new structural style of cooling channel has huge potential and provides new direction of heat transfer of turbine blade trailing edge. 相似文献
859.
Application of time-variable process noise in terrestrial reference frames determined from VLBI data
Benedikt Soja Richard S. Gross Claudio Abbondanza Toshio M. Chin Michael B. Heflin Jay W. Parker Xiaoping Wu Kyriakos Balidakis Tobias Nilsson Susanne Glaser Maria Karbon Robert Heinkelmann Harald Schuh 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2018,61(9):2418-2425
In recent years, Kalman filtering has emerged as a suitable technique to determine terrestrial reference frames (TRFs), a prime example being JTRF2014. The time series approach allows variations of station coordinates that are neither reduced by observational corrections nor considered in the functional model to be taken into account. These variations are primarily due to non-tidal geophysical loading effects that are not reduced according to the current IERS Conventions (2010). It is standard practice that the process noise models applied in Kalman filter TRF solutions are derived from time series of loading displacements and account for station dependent differences. So far, it has been assumed that the parameters of these process noise models are constant over time. However, due to the presence of seasonal and irregular variations, this assumption does not truly reflect reality. In this study, we derive a station coordinate process noise model allowing for such temporal variations. This process noise model and one that is a parameterized version of the former are applied in the computation of TRF solutions based on very long baseline interferometry data. In comparison with a solution based on a constant process noise model, we find that the station coordinates are affected at the millimeter level. 相似文献
860.
This paper proposes a model-based prognostics method that couples the Extended Kalman Filter (EKF) and a new developed linearization method. The proposed prognostics method is developed in the context of fatigue crack propagation in fuselage panels where the model parameters are unknown and the crack propagation is affected by different types of uncertainties. The coupled method is composed of two steps. The first step employs EKF to estimate the unknown model parameters and the current damage state. In the second step, the proposed efficient linearization method is applied to compute analytically the statistical distribution of the damage evolution path in some future time. A numerical case study is implemented to evaluate the performance of the proposed method. The results show that the coupled EKF-linearization method provides satisfactory results: the EKF algorithm well identifies the model parameters, and the linearization method gives comparable prediction results to Monte Carlo (MC) method while leading to very significant computational cost saving. The proposed prognostics method for fatigue crack growth can be used for developing predictive maintenance strategy for an aircraft fleet, in which case, the computational cost saving is significantly meaningful. 相似文献