A novel calibration method of multi-hole pressure probes is presented. The case of a particular in-house seven-hole probe is treated explicitly. The three components of the velocity vector are recovered by minimising ...
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A novel calibration method of multi-hole pressure probes is presented. The case of a particular in-house seven-hole probe is treated explicitly. The three components of the velocity vector are recovered by minimising the difference between the pressures measured at the ports and those interpolated in the calibration data set. A Levenberg algorithm is used for the minimisation procedure while interpolation is carried out by exponential splines. A local least square polynomial-fitting technique is also implemented as an auxiliary module. The method is efficient in determining the velocity vector in the largest part of the domain spanned by the Mach number and the orientation of the probe. An important point is that no zoning of the data is necessary. Uncertainties are found that are due to mechanical limitations of the experimental facility. An overall objective of the method is to reduce the size of the calibration data set needed for multi-hole pressure probe.
Under shear and non-uniform loads, the deformation of the section shape of a casing results in an irregular section, and the spatial continuity is poor. The change in the distance between the wall of the casing before...
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Under shear and non-uniform loads, the deformation of the section shape of a casing results in an irregular section, and the spatial continuity is poor. The change in the distance between the wall of the casing before and after stress is recorded to analyze the deformation of the casing, and the distance value is taken as the key characteristic of the casing. A large number of the key characteristic values of shale gas casing deformation can be obtained by using the circular traversal detection method. At the same time, this article focuses on the center deviation between the laser sensor axis and the pipe string axis, as well as on the disturbance problem during measurement. An eccentricity error correction algorithm is derived to correct the eccentricity error that occurs during the detection process, and then we use interpolation algorithms to draw cubic spline curves to improve detection accuracy. The test results show that the algorithm can effectively eliminate eccentricity errors in measurement and achieve the accurate measurement of deformation casing characteristic values, which can provide basic data for the study of a shale gas casing deformation mechanism.
We demonstrate the synthesis of sparse sampling and dimensionality reduction to characterize and model nonlinear dynamical systems over a range of bifurcation parameters. First, we construct modal libraries using the ...
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We demonstrate the synthesis of sparse sampling and dimensionality reduction to characterize and model nonlinear dynamical systems over a range of bifurcation parameters. First, we construct modal libraries using the classical proper orthogonal decomposition in order to expose the dominant low-rank coherent structures. Here, libraries of the nonlinear terms are also constructed in order to take advantage of the discrete empirical interpolation method and projection that allows for the approximation of nonlinear terms from a sparse number of grid points. The selected grid points are shown to be effective sensing and measurement locations for characterizing the underlying dynamics, stability, and bifurcations of nonlinear dynamical systems. The use of empirical interpolation points and sparse representation facilitates a family of local reduced-order models for each physical regime, rather than a higher-order global model, which has the benefit of physical interpretability of energy transfer between coherent structures. The method advocated also allows for orders-of-magnitude improvement in computational speed and memory requirements. To illustrate the method, the discrete interpolation points and nonlinear modal libraries are used for sparse representation in order to classify and reconstruct the dynamic bifurcation regimes in the complex Ginzburg-Landau equation. It is also shown that point measurements of the nonlinearity are more effective than linear measurements when sensor noise is present.
Tato práce se zabývá způsoby řízení 3D tiskáren. Zejména krokovými motory spolu s jejich rozběhovými profily. Dále se pojednává o interpolačních algori...
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Tato práce se zabývá způsoby řízení 3D tiskáren. Zejména krokovými motory spolu s jejich rozběhovými profily. Dále se pojednává o interpolačních algoritmech. Pozornost je také věnována návrhu řídicí desky pro 3D tiskárnu, postavenou na kitu Nucleo F411. Poslední část rozebírá implementaci řídicího firmwaru.
A lattice Boltzmann method on nonuniform quadtree grids is proposed. Our method employs the interpolation-supplemented lattice Boltzmann model. The advantages of the quadtree grid are preserved by using linear interpo...
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A lattice Boltzmann method on nonuniform quadtree grids is proposed. Our method employs the interpolation-supplemented lattice Boltzmann model. The advantages of the quadtree grid are preserved by using linear interpolation instead of quadratic interpolation to complete the streaming step in the lattice Boltzmann method. The back-and-forth error compensation and correction (BFECC) method is used to improve the accuracy, so that the second-order accuracy of the conventional lattice Boltzmann method is maintained. Several numerical cases, including a BFECC streaming test, lid-driven cavity flow, and flow over an asymmetrically placed cylinder in a channel, are carried out to demonstrate the accuracy and efficiency of our method.
In this paper a solution is given for the problem of approximation of any given multivariate probability distribution function by a mixture of normal distributions or, in general case, a mixture of some other distribu...
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In this paper a solution is given for the problem of approximation of any given multivariate probability distribution function by a mixture of normal distributions or, in general case, a mixture of some other distributions suitable for the given particular case. The analogous problem is solved for distribution functions of stochastic processes, i.e. an interpolation time-dependent polynomial is constructed which approximates the distribution function in the uniform metric.
The position was one of the first parameters that required the introduction of automatic control process. One of the most representative applications is represented by the feed drives of the computer numerically contr...
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The position was one of the first parameters that required the introduction of automatic control process. One of the most representative applications is represented by the feed drives of the computer numerically controlled (CNC) machine tools. Today, it is possible to use computer simulation techniques in analysing and synthesising position control systems. Thus, the behaviour of the CNC machine tools feed drives can be treated much more realistically. It is the purpose of this paper to show how simulation can be used to accurately represent, predict and improve the performance of a CNC machine tool feed servo drives.
This work proposes a predictive controller with interpolation in order to improve the behaviour of a typical MPC when the system presents constraints. Particularly, it is interesting to see how the interpolation, betw...
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This work proposes a predictive controller with interpolation in order to improve the behaviour of a typical MPC when the system presents constraints. Particularly, it is interesting to see how the interpolation, between the solution of the optimal unconstrained problem and other feasible solutions, assures the stability of the system in presence of disturbances. The system in which the controller is applied is a two-link robot manipulator arm. The predictive controller is inserted in an adaptive perturbation scheme to change adequately the nominal inputs, given by an inverse dynamics controller, in order to reject the disturbances produced. The efficiency of the proposed strategy is shown by simulation.
The terrain-aided navigation problem is a highly nonlinear estimation problem with application to aircraft navigation and missile guidance. In this work the Bayesian approach is used to estimate the aircraft position....
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The terrain-aided navigation problem is a highly nonlinear estimation problem with application to aircraft navigation and missile guidance. In this work the Bayesian approach is used to estimate the aircraft position. With a quantization of the state space an implementable algorithm is found. Problems with low excitation, rough terrain and parallel position hypothesis are handled in a reliable way. The algorithm is evaluated using simulations on real terrain databases.
Two new state estimation filters for nonlinear systems are derived in this paper. The filters are based on a multi-dimensional extension of Stirling's interpolation formula for approximation of the nonlinear trans...
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Two new state estimation filters for nonlinear systems are derived in this paper. The filters are based on a multi-dimensional extension of Stirling's interpolation formula for approximation of the nonlinear transformations. The filters can be shown to perform better than filters based on Taylor approximations. Yet, they can be implemented more easily as no derivatives are required. Thus, it is believed that the new filters can replace well-known estimators, such as the extended Kalman filter (EKF) and its higher order relatives.
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