Anglia Ruskin Research Online (ARRO)
Browse
FPGAs in Industrial Control Applications.pdf (962.84 kB)

FPGAs in Industrial Control Applications

Download (962.84 kB)
journal contribution
posted on 2023-08-30, 13:50 authored by Eric Monmasson, Lahoucine Idkhajine, Marcian N. Cirstea, Imene Bahri, Alin Tisan, Mohamed W. Naouar
The aim of this paper is to review the state-of-the-art of Field Programmable Gate Array (FPGA) technologies and their contribution to industrial control applications. Authors start by addressing various research fields which can exploit the advantages of FPGAs. The features of these devices are then presented, followed by their corresponding design tools. To illustrate the benefits of using FPGAs in the case of complex control applications, a sensorless motor controller has been treated. This controller is based on the Extended Kalman Filter. Its development has been made according to a dedicated design methodology, which is also discussed. The use of FPGAs to implement artificial intelligence-based industrial controllers is then briefly reviewed. The final section presents two short case studies of Neural Network control systems designs targeting FPGAs.

History

Refereed

  • Yes

Volume

7

Issue number

2

Page range

224-243

Publication title

IEEE Transactions on Industrial Informatics

ISSN

1941-0050

Publisher

IEEE

File version

  • Accepted version

Language

  • eng

Legacy posted date

2013-07-18

Legacy creation date

2019-01-22

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC