Input force reconstruction using a time domain technique

Kammer, Daniel C.

doi:10.2514/6.1996-1201

Cited by 21 publications

(26 citation statements)

References 13 publications

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“…Input reconstruction is a technique frequently used in the Internal Model Control (IMC) strategies [17] to invert data-driven parametric models and compensate the dynamics of the tracking process [15], or for metrological purposes [6]. The literature, however, rarely addresses the problem of dynamic inversion based on data-driven parametric models of mechanical structures and systems [10]. Nonetheless, the technique (model inversion) is applicable to the problems of load reconstruction in mechanical systems in order to modify the dynamics of a structure or a system and to achieve better performance, e.g.…”

Section: Theory Underlying Model Inversionmentioning

confidence: 99%

Application of inverse linear parametric models in the identification of rail track irregularities

2011

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Requirements for current trains to be increasingly available have created the need to develop systems that can predict the quality of both trains and infrastructure components. The paper presents a new approach to the detection of rail truck irregularities, based on the measurements of bearing box acceleration during the operation of rail vehicles. The proposed procedure is based on an inverse problem solution, estimating track irregularities from measured acceleration of the applied model of vehicle dynamics. The simulation study of the proposed method, as well as its implementation, is presented. The method has been successfully applied for the identification of rail irregularities on a typical Polish railroad and vehicle.

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Section: Theory Underlying Model Inversionmentioning

confidence: 99%

Application of inverse linear parametric models in the identification of rail track irregularities

2011

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“…Law and Fang [15] presented a state space method for moving force identification. Kammer [16] and Law et al [17] adopted the zeroth order system Markov parameters to identify the external forces. Nordberg and Gustafsson [18] proposed an explicit block inversion algorithm to invert the associated upper block triangular Toeplitz matrix for force identification using the state space method.…”

Section: Introductionmentioning

confidence: 99%

A novel state space method for force identification based on the Galerkin weak formulation

Wang

Wan

Wang

et al. 2015

Computers & Structures

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“…Input reconstruction is a technique frequently used in the Internal Model Control (IMC) strategies [4] to invert data-driven parametric models and compensate the dynamics of the tracking process [5,6], or for metrological purposes [7,8]. The literature, however, rarely addresses the problem of dynamic model inversion [9] based on data-driven parametric models of mechanical structures and systems. Nonetheless, the technique (model inversion) is applicable to the problems of load reconstruction in mechanical systems in order to modify the dynamics of a structure or a system and to achieve better performance, e.g.…”

Section: Model Inversionmentioning

confidence: 99%

Application of an Inverse Data-Driven Model for Reconstructing Wheel Movement Signals

Czop¹

2011

Metrology and Measurement Systems

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This paper considers a method for indirect measuring the vertical displacement of wheels resulting from the road profile, using an inverse parametric data-driven model. Wheel movement is required in variable damping suspension systems, which use an onboard electronic control system that improves ride quality and vehicle handling in typical maneuvres. This paper presents a feasibility study of such an approach which was performed in laboratory conditions. Experimental validation tests were conducted on a setup consisting of a servo-hydraulic test rig equipped with displacement, force and acceleration transducers and a data-acquisition system. The fidelity and adequacy of various parametric SISO model structures were evaluated in the time domain based on correlation coefficient, FPE and AIC criteria. The experimental test results showed that inverse models provide accuracy of inversion, ranging from more than 70% for the ARX model structure to over 90% for the OE model structure.

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Input force reconstruction using a time domain technique

Cited by 21 publications

References 13 publications

Application of inverse linear parametric models in the identification of rail track irregularities

Application of inverse linear parametric models in the identification of rail track irregularities

A novel state space method for force identification based on the Galerkin weak formulation

Application of an Inverse Data-Driven Model for Reconstructing Wheel Movement Signals

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