An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach

The aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory,...

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Main Authors: Oz Yakrangi, Roque J. Saltarén Pazmiño, Juan S. Cely, Alejandro Rodríguez, Cecilia E. García Cena, Pablo San Segundo Carrillo, Julio De La Cueva, Amir Shapiro
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/4/489
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author Oz Yakrangi
Roque J. Saltarén Pazmiño
Juan S. Cely
Alejandro Rodríguez
Cecilia E. García Cena
Pablo San Segundo Carrillo
Julio De La Cueva
Amir Shapiro
author_facet Oz Yakrangi
Roque J. Saltarén Pazmiño
Juan S. Cely
Alejandro Rodríguez
Cecilia E. García Cena
Pablo San Segundo Carrillo
Julio De La Cueva
Amir Shapiro
author_sort Oz Yakrangi
collection DOAJ
description The aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory, and fuzzy Petri nets. Each algorithm is intended for a specific set of transitions, depending on their essential conditions. All these algorithms generate intelligent and safe control of the GEMMA guide paradigm in order to have the best control system for the machine. Moreover, the algorithms are able to make the best decision automatically depending on the machine’s situation and condition, something that allows the machine to be placed in the appropriate mode for each situation. The results show that the different fuzzy Petri net algorithms were working properly for the GEMMA guide paradigm and provided a proper solution for the automation of production systems.
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spelling doaj.art-6786bed854bc473dad8b3c94ed5af2252023-12-11T17:36:13ZengMDPI AGElectronics2079-92922021-02-0110448910.3390/electronics10040489An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets ApproachOz Yakrangi0Roque J. Saltarén Pazmiño1Juan S. Cely2Alejandro Rodríguez3Cecilia E. García Cena4Pablo San Segundo Carrillo5Julio De La Cueva6Amir Shapiro7Centro de Automàtica y Robótica, Escuela Técnica de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Automàtica y Robótica, Escuela Técnica de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Automàtica y Robótica, Escuela Técnica de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Automàtica y Robótica, Escuela Técnica de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Automàtica y Robótica, Escuela Técnica de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainCentro de Automàtica y Robótica, Escuela Técnica de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainPuertos del Estado, 28042 Madrid, SpainRobotics Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, Beer Sheva 84105, IsraelThe aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory, and fuzzy Petri nets. Each algorithm is intended for a specific set of transitions, depending on their essential conditions. All these algorithms generate intelligent and safe control of the GEMMA guide paradigm in order to have the best control system for the machine. Moreover, the algorithms are able to make the best decision automatically depending on the machine’s situation and condition, something that allows the machine to be placed in the appropriate mode for each situation. The results show that the different fuzzy Petri net algorithms were working properly for the GEMMA guide paradigm and provided a proper solution for the automation of production systems.https://www.mdpi.com/2079-9292/10/4/489GEMMA guide paradigmfuzzy logicPetri netsfuzzy Petri netsintelligent controldecision-making
spellingShingle Oz Yakrangi
Roque J. Saltarén Pazmiño
Juan S. Cely
Alejandro Rodríguez
Cecilia E. García Cena
Pablo San Segundo Carrillo
Julio De La Cueva
Amir Shapiro
An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
Electronics
GEMMA guide paradigm
fuzzy logic
Petri nets
fuzzy Petri nets
intelligent control
decision-making
title An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_full An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_fullStr An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_full_unstemmed An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_short An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach
title_sort intelligent algorithm for decision making system and control of the gemma guide paradigm using the fuzzy petri nets approach
topic GEMMA guide paradigm
fuzzy logic
Petri nets
fuzzy Petri nets
intelligent control
decision-making
url https://www.mdpi.com/2079-9292/10/4/489
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