Adaptive filtering approach to dynamic weighing: a checkweigher case study

Meller, Michał; Niedźwiecki, Maciej; Pietrzak, Przemysław

doi:10.3182/20140824-6-za-1003.00395

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The FIR-model based approach to dynamic weighing proposed in this paper will be compared with two state-of-theart model-free approaches: the subspace identification method proposed in [17] and the time-variant filtering approach described in [15] (which provides a similar accuracy as the model-based approach presented in [10]). Fig.…”

Section: Comparison With the State-of-the-art Solutionsmentioning

confidence: 99%

“…During each weighing cycle, the model is identified based on the collected measurements. The obtained estimates of model parameters are next used to calculate the steady-state response of the weighing platform to a hypothetical step-like excitation, i.e., the static weight of the weighed item [2], [4], [9], [10]. The second, model-free filtering approach to dynamic weighing incorporates digital filters designed so as to reduce the noise and attenuate the oscillatory part of the system response.…”

Section: Introductionmentioning

confidence: 99%

“…When optimized, the model-based and model-free timevariant filtering approaches yield comparable results [10]. In the case of the model-based approach, optimization amounts to the appropriate choice of the model structure, identification technique, and prefilter used to process the data prior to identification.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

High-Precision FIR-Model-Based Dynamic Weighing System

Niedźwiecki

Pietrzak

2016

IEEE Trans. Instrum. Meas.

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Conveyor belt-type checkweighers are increasingly popular components of modern production lines. They are used to assess the weight of the produced items in motion, i.e., without stopping them on the weighing platform. The main challenge one faces when designing a dynamic weighing system is providing high measurement accuracy, especially at high conveyor belt speeds. The approach proposed in this paper can be characterized as a filtering scheme based on the finite impulse response model of the weighing system response. It is shown that when such a model-based filtering is applied, the attained weighing accuracy is up to four times higher than that guaranteed by the currently available state-of-the-art solutions. Index Terms-Conveyor belt-type checkweighers, dynamic mass measurement, model-based filtering.0018-9456

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Section: Comparison With the State-of-the-art Solutionsmentioning

confidence: 99%