Impact force identification using the general inverse technique

Hollandsworth, P.E.; Busby, Henry R.

doi:10.1016/0734-743x(89)90020-1

Cited by 76 publications

(35 citation statements)

References 4 publications

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“…Busby and Trujillo [13] reconstructed the force history using a standing wave approach and Hollandsworth and Busby [14] veri"ed this experimentally with a force applied at a known location and accelerometers were used as sensors. Simonian [15,16] used a dynamic programming "lter to predict wind loads on a structure.…”

Section: Introductionmentioning

confidence: 99%

Moving Force Identification: Optimal State Estimation Approach

Law¹,

Fang

2001

Journal of Sound and Vibration

105

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Section: Introductionmentioning

confidence: 99%

Moving Force Identification: Optimal State Estimation Approach

Law¹,

Fang

2001

Journal of Sound and Vibration

105

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“…A non-parametric representation uses a frequency response function (FRF), called the spectral transfer function, or an impulse response function, while parametric representation uses a transfer function or state-space equations. Examples of applications of the frequency response function method are discussed in [17], while an impulse response function method is presented in [18,10]. The parametric approach is considered as more adequate for real-time applications [19,13].…”

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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“…Therefore a more realistic approximation of the source pulse is still needed. Force identification procedures (Hollandsworth and Busby, 1989;Martin and Doyle, 1996) would provide a consistent framework to formulate an appropriate source model. Nevertheless, they require the solution of a rather complex inverse problem especially in the case of a drop-load test in which a significant plasticization is expected in the impact zone.…”

Section: Figure 1 -Drop Load Test Apparatus Used For Experimental Tesmentioning

confidence: 99%