Design of a Neural Network Function Block for Insertion into the Function Block Library of a Programmable Logic Controller
Félix Armando Fermín Pérez, Enrique Sebastián, Jesus Sullcarayme
Abstract
Félix Armando Fermín Pérez, Enrique Sebastián, Jesus Sullcarayme
Abstract
This paper shows the design of a function block containing a neural network to be inserted into a function block library of a programmable logic controller to be used in an industrial process control application. First, the neural network was designed and trained based on the previous behavior of a proportional, integral and derivative controller; then it was implemented in a function block, and inserted into the function block library of a programmable logic controller; finally the behavior of a proportional, integral and derivative controller was compared with another based on a neural network.
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This paper shows the design of a function block containing a neural network to be inserted into a function block library of a programmable logic controller to be used in an industrial process control application. First, the neural network was designed and trained based on the previous behavior of a proportional, integral and derivative controller; then it was implemented in a function block, and inserted into the function block library of a programmable logic controller; finally the behavior of a proportional, integral and derivative controller was compared with another based on a neural network.
Key concepts: Function block diagram, Programmable logic controller, Block (permutation group theory), Programmable logic device, Controller (irrigation), Logic block, Computer science, Artificial neural network