Imperial College London
Alternate

ProfessorChristos-SavvasBouganis

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Intelligent Digital Systems
 
 
 
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Contact

 

+44 (0)20 7594 6144christos-savvas.bouganis Website

 
 
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Location

 

904Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Olaizola:2020:10.1109/TIE.2019.2921292,
author = {Olaizola, J and Bouganis, C-S and Argandoña, ESD and Iturrospe, A and Abete, JM},
doi = {10.1109/TIE.2019.2921292},
journal = {IEEE Transactions on Industrial Electronics},
pages = {4088--4097},
title = {Real-time servo press force estimation based on dual particle filter.},
url = {http://dx.doi.org/10.1109/TIE.2019.2921292},
volume = {67},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The ability to monitor the quality of the metal forming process as well as the machine's condition is of significant importance in modern industrial processes. In the case where a physical device (i.e., sensor) cannot be deployed due to the characteristics of the system, models that rely on the estimation of both the applied force and the dynamic behavior of the machine (i.e., system) are adopted. The development of such models and the corresponding algorithms used to estimate the above-mentioned quantities has attracted the interest of the community. The main contribution of this paper is the estimation of a servo press force by employing a novel dual particle filter based algorithm, achieving a maximum relative error in the force estimation of 3.6%. Moreover, to address real-time performance requirements, this paper proposes a field programmable gate array based accelerator that improves the sampling rate by a factor of 200 compared to a processor-based solution, thus enabling the deployment of the system in many realistic scenarios.
AU  - Olaizola,J
AU  - Bouganis,C-S
AU  - Argandoña,ESD
AU  - Iturrospe,A
AU  - Abete,JM
DO  - 10.1109/TIE.2019.2921292
EP  - 4097
PY  - 2020///
SN  - 0278-0046
SP  - 4088
TI  - Real-time servo press force estimation based on dual particle filter.
T2  - IEEE Transactions on Industrial Electronics
UR  - http://dx.doi.org/10.1109/TIE.2019.2921292
UR  - https://ieeexplore.ieee.org/abstract/document/8734894
VL  - 67
ER  -
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