A Portable Implementation on Industrial Devices of a Predictive Controller Using Graphical Programming

This paper presents an approach for developing an extended prediction self-adaptive controller employing graphical programming of industrial standard devices for controlling fast processes. For comparison purposes, the algorithm has been implemented on three different field-programmable gate arrays...

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Veröffentlicht in:IEEE transactions on industrial informatics Jg. 12; H. 2; S. 736 - 744
Hauptverfasser: Folea, Silviu C., Mois, George, Muresan, Cristina I., Miclea, Liviu, De Keyser, Robain, Cirstea, Marcian N.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Benchmark testing
Computational modeling
Controllers
DC motors
Design modifications
Devices
Field programmable gate arrays
Prediction algorithms
Predictive control
Predictive models
Programmable logic devices
Programming
Real-time systems
Benchmark testing
predictive control
field-programmable gate arrays (FPGAs)
real-time systems
ISSN:1551-3203, 1941-0050
Online-Zugang:Volltext
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Zusammenfassung:This paper presents an approach for developing an extended prediction self-adaptive controller employing graphical programming of industrial standard devices for controlling fast processes. For comparison purposes, the algorithm has been implemented on three different field-programmable gate arrays (FPGAs) chips. This paper presents research aspects regarding graphical-programming controller design, showing that a single advanced control application can run on different targets without requiring significant program modifications. Based on the time needed for processing the control signal and on the application, one can efficiently and easily select the most appropriate device. To exemplify the procedure, a conclusive case study is presented.
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ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2016.2532118