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FPGAs in Industrial Control Applications

IEEE Transactions on Industrial Informatics · 2011 · Vol. 7(2) · pp. 224–243
Éric MonmassonLahoucine IdkhajineMarcian CirsteaImen BahriAlin TisanMohamed Wissem Naouar

Abstract

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.

Real-time simulation and control systemsEmbedded Systems Design TechniquesReal-Time Systems SchedulingField-programmable gate arrayExploitEmbedded systemComputer scienceController (irrigation)Field (mathematics)Control systemState (computer science)Control engineeringComputer architecture
Citations
494
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126.09
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References
104
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References
Extended kalman filter tuning in sensorless PMSM drives
IEEE Transactions on Industry Applications · 2003 · 551 citations
FPGA Design Methodology for Industrial Control Systems—A Review
IEEE Transactions on Industrial Electronics · 2007 · 896 citations
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