FPGAs in Industrial Control Applications

Monmasson, Eric and Idkhajine, Lahoucine and Cirstea, Marcian N. and Bahri, Imene and Tisan, Alin and Naouar, Mohamed W. (2011) FPGAs in Industrial Control Applications. IEEE Transactions on Industrial Informatics, 7 (2). pp. 224-243. ISSN 1941-0050

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Official URL: http://dx.doi.org/10.1109/TII.2011.2123908


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.

Item Type: Journal Article
Keywords: Artificial intelligence (AI), design methodology, design tools, extended Kalman filter (EKF), field programmable gate array (FPGA), industrial control applications, neural networks (NNs)
Faculty: ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User: Repository Admin
Date Deposited: 18 Jul 2013 09:40
Last Modified: 26 Jan 2022 16:08
URI: https://arro.anglia.ac.uk/id/eprint/296319

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