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 using graphical programming of business customary devices for controlling fast processes. For comparison purposes, the algorithm has been implemented on three totally different field-programmable gate arrays (FPGAs) chips. This paper presents analysis aspects regarding graphical-programming controller design, showing that a single advanced management application can run on completely different targets without requiring vital program modifications. Primarily based on the time needed for processing the management signal and on the applying, one will efficiently and simply choose the foremost appropriate device. To exemplify the procedure, a conclusive case study is presented.

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