首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Estimating the Characteristic Curve of a Directional Control Valve in a Combined Multibody and Hydraulic System Using an Augmented Discrete Extended Kalman Filter
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Estimating the Characteristic Curve of a Directional Control Valve in a Combined Multibody and Hydraulic System Using an Augmented Discrete Extended Kalman Filter

机译:使用增强离散扩展卡尔曼滤波器估算组合多体和液压系统中方向控制阀的特性曲线

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摘要

The estimation of the parameters of a simulation model such that the model’s behaviour matches closely with reality can be a cumbersome task. This is due to the fact that a number of model parameters cannot be directly measured, and such parameters might change during the course of operation in a real system. Friction between different machine components is one example of these parameters. This can be due to a number of reasons, such as wear. Nevertheless, if one is able to accurately define all necessary parameters, essential information about the performance of the system machinery can be acquired. This information can be, in turn, utilised for product-specific tuning or predictive maintenance. To estimate parameters, the augmented discrete extended Kalman filter with a curve fitting method can be used, as demonstrated in this paper. In this study, the proposed estimation algorithm is applied to estimate the characteristic curves of a directional control valve in a four-bar mechanism actuated by a fluid power system. The mechanism is modelled by using the double-step semi-recursive multibody formulation, whereas the fluid power system under study is modelled by employing the lumped fluid theory. In practise, the characteristic curves of a directional control valve is described by three to six data control points of a third-order B-spline curve in the augmented discrete extended Kalman filter. The results demonstrate that the highly non-linear unknown characteristic curves can be estimated by using the proposed parameter estimation algorithm. It is also demonstrated that the root mean square error associated with the estimation of the characteristic curve is 0.08% with respect to the real model. In addition, all the errors in the estimated states and parameters of the system are within the 95% confidence interval. The estimation of the characteristic curve in a hydraulic valve can provide essential information for performance monitoring and maintenance applications.
机译:估计模拟模型的参数,使模型的行为与现实密切匹配可能是一个麻烦的任务。这是由于不能直接测量许多模型参数,并且在实际系统中的操作过程中可能会改变这种参数。不同机器组件之间的摩擦是这些参数的一个示例。这可能是由于许多原因,例如磨损。然而,如果能够准确地定义所有必要的参数,则可以获得关于系统机械性能的基本信息。反过来,这些信息可以用于特定于产品的调整或预测性维护。为了估计参数,可以使用具有曲线拟合方法的增强离散的卡尔曼滤波器,如本文所示。在该研究中,所提出的估计算法应用于估计由流体动力系统致动的四个条机构中的方向控制阀的特征曲线。通过使用双步半递归多体配方建模的机制,而通过采用集体流体理论建模研究的流体电力系统。实际上,定向控制阀的特征曲线描述了增强离散扩展卡尔曼滤波器中的三阶B样条曲线的三次B样条曲线的三到六个数据控制点。结果表明,通过使用所提出的参数估计算法,可以估计高度非线性未知特性曲线。还证明了与特征曲线的估计相关的根均方误差相对于真实模型为0.08%。此外,估计状态和系统参数中的所有错误都在95%的置信区间内。液压阀中特性曲线的估计可以提供性能监测和维护应用的基本信息。

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