scholarly journals Proposal of a Procedure for Automating an Industrial Process Using Petri Nets as a Formal Tool

2018 ◽  
Vol 14 (26) ◽  
pp. 29-41
Author(s):  
José Isidro García Melo ◽  
Ruth Edmy Cano Buitrón ◽  
Juan David Contreras
Keyword(s):  
Petri Nets ◽  
Industrial Process ◽  
Dynamic Complexity ◽  
Modeling Tools ◽  
Industrial Systems ◽  
Process Dynamic ◽  
Formal Tool ◽  
Efficiency And Effectiveness ◽  
Incorrect Solution ◽  
Automation Project

Currently, industrial systems must adapt to changes in globalized markets in order to be competitive. In this context, automation is presented as a solution to ensure the efficiency and effectiveness of production. However, a correct specification of this kind of response is not a trivial task. This is due to the increase in the process dynamic complexity that involves personnel and technical resources of different nature as well as, risks derived from an incorrect solution definition. Thus, this article presents a structured process that considers the semantics of UML, Petri Nets as a modeling tools and automation standards to define the requirements, behavior and implementation of the system automation project. In order to assess the proposed approach, an application example was developed. Finally, the relevant contributions are stated in the context of the application.

scholarly journals An MEA-Tuning Method for Design of the PID Controller

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yongli Zhang ◽  
Lijun Zhang ◽  
Zhiliang Dong
Keyword(s):  
Pid Controller ◽  
Industrial Process ◽  
Optimal Solution ◽  
Design Feature ◽  
Parameter Tuning ◽  
Parallel Structure ◽  
Evolutionary Information ◽  
Tuning Method ◽  
Efficiency And Effectiveness ◽  
Global Optimal

The optimization and tuning of parameters is very important for the performance of the PID controller. In this paper, a novel parameter tuning method based on the mind evolutionary algorithm (MEA) was presented. The MEA firstly transformed the problem solutions into the population individuals embodied by code and then divided the population into superior subpopulations and temporary subpopulations and used the similar taxis and dissimilation operations for searching the global optimal solution. In order to verify the control performance of the MEA, three classical functions and five typical industrial process control models were adopted for testing experiments. Experimental results indicated that the proposed approach was feasible and valid: the MEA with the superior design feature and parallel structure could memorize more evolutionary information, generate superior genes, and enhance the efficiency and effectiveness for searching global optimal parameters. In addition, the MEA-tuning method can be easily applied to real industrial practices and provides a novel and convenient solution for the optimization and tuning of the PID controller.

scholarly journals Supervisors of Petri Nets

2019 ◽  
Vol 27 (45) ◽  
pp. 33-41
Author(s):  
Jana Flochová ◽  
Tomáš Lojan
Keyword(s):  
Petri Nets ◽  
Communication Networks ◽  
Supervisory Control ◽  
Manufacturing Systems ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Modeling And Analysis ◽  
Industrial Systems ◽  
Software Application ◽  
Event Systems

Abstract The design and operation of modern industrial systems require modeling and analysis in order to select the optimal design alternative and operational policy. Discrete event system models are encountered in a variety of fields, for example computers, communication networks, manufacturing systems, sensors or actuators, faults diagnosis, robotics and traffic. The paper describes principles and methods of supervisory control of discrete event systems initiated by Ramadge and Wonham. Three supervisory control methods based on the Petri net models are introduced, and the key features of the Petri tool software application for the supervisory control of discrete event systems modeled by Petri nets are highlighted.

Business Process Modeling and Analysis Based on Queue Logical Petri Nets

2019 ◽  
Vol 29 (01) ◽  
pp. 115-137 ◽  
Author(s):  
Lei Liu ◽  
Wei Liu ◽  
Yuyue Du
Keyword(s):  
Petri Nets ◽  
Business Process ◽  
Waiting Time ◽  
Petri Net ◽  
Process Modeling ◽  
Modeling Tools ◽  
Modeling And Analysis ◽  
Average Waiting Time ◽  
Stay Time ◽  
Complete Process

In the present modeling tools, there is no proper model to describe the fairness of resource scheduling for sharing systems. In order to solve this problem well, we propose a new sharing system and Queue Logical Petri nets. In this paper, a complete process of entering and leaving a garage is modeled by a Queue Logical Petri nets. Based on random arrival and exponential arrival, the average waiting time of vehicles, the average stay time in the queue and the average number of waiting vehicles in the queue are analyzed. According to reachable sequence of Queue Logical Petri net, the Invariant, the utilization of garage and the number of waiting vehicles are analyzed. And the validity of the sharing system with queue is proved by compared with other methods in the experiment.

scholarly journals Discrete Event Systems Fault’s Diagnosis and Prognosis Using Feed-Forward Neural Networks

2021 ◽  
Vol 54 (6) ◽  
pp. 853-863
Author(s):  
Amri Omar ◽  
Fri Mohamed ◽  
Msaaf Mohammed ◽  
Belmajdoub Fouad
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Modeling Tools ◽  
Feed Forward ◽  
Industrial Systems ◽  
Diagnosis And Prognosis ◽  
Event Systems ◽  
Fault Diagnosis And Prognosis

The elaboration and development of monitoring (diagnostic and prognostic) tools for industrial systems has been one of the main concerns of the researchers for many years, so that many researches and studies have been developed and proposed, especially concerning discrete event systems (DES), which occupy an important class of industrial systems. However, the use of modeling tools to ensure these operations become a complex and exhausting task, while the complexity of industrial systems has been increasing incessantly. Therefore, the development of more and more sophisticated techniques is required. In this context, the use of artificial neural networks (NN) seems interesting, because thanks to their automatics and intelligent algorithms, the NN could handle perfectly DES diagnosis and prognosis problems. For this purpose, in the following papers, we propose an intelligent approach based on feed-forward neural network, which will deal with fault diagnosis and prognosis in DES, so that the events generated by the DES, will be presented and analyzed by the neural network in real-time, in order to perform an online diagnosis and prognosis.

scholarly journals Modeling of educational processes based on neuro-fuzzy temporal Petri nets

2021 ◽  
Vol 16 (4) ◽  
pp. 35-47
Author(s):  
Vadim V. Borisov ◽  
◽  
Anton Е. Misnik ◽  
Siarhei А. Prakapenka ◽  
Viktor V. Kutuzov ◽  
...  
Keyword(s):  
Complex Systems ◽  
Petri Nets ◽  
Rapid Development ◽  
Integrated Approach ◽  
Modeling Processes ◽  
Educational Systems ◽  
Master's Program ◽  
Modeling Tools ◽  
Educational Processes ◽  
Neuro Fuzzy

The article is devoted to the implementation of a method for modeling processes in complex educational systems based on the proposed variety of neuro-fuzzy temporal Petri nets. The article considers educational systems of the level of higher educational institutions, which, of course, belong to the class of complex systems. The need for a method, models and modeling tools is dictated by the fact that modern educational processes require constant modernization, due to the constantly growing volumes of information, changes in legislation, stricter requirements for specialists, rapid development of technologies, constant discoveries in various fields, as well as the influence of external factors. Requirements for the tools for modeling processes in complex systems are formulated, the use of Petri nets as the basis of such models is substantiated. The existing educational processes are considered on the example of the cycle of training in the master's program of the Belarusian-Russian University. The model of educational and information-analytical learning processes in the master's program based on the neuro-fuzzy temporal Petri net is presented. The proposed method allows to increase the flexibility of the choice of individual trajectories of training in the master's program, the effectiveness of elective disciplines and to make the transition to an integrated approach in the preparation of undergraduates. The proposed method can also be used as a basis for monitoring the state and control of information and analytical processes in educational systems. An approach to the construction of software-instrumental environment for the design and modification of information-analytical processes is described, aimed, among other things, at bridging the semantic gap between experts, architects and developers of information-analytical processes. A subsystem for the formation of a neuro-fuzzy temporal model of processes within the framework of a software-instrumental environment is considered.

scholarly journals Multi Agent System Based Approach for Industrial Process Simulation

2021 ◽  
Vol 54 (2) ◽  
pp. 209-217
Author(s):  
Lazhar Benoudina ◽  
Mohammed RedjimiRedjimi
Keyword(s):  
Data Processing ◽  
Industrial Process ◽  
Industrial System ◽  
Industrial Systems ◽  
Agent Platform ◽  
Control Loops ◽  
Proper Functioning ◽  
Concrete Application ◽  
Multi Agent ◽  
Reactive Agents

Industrial systems become more and more complex. This complexity is due to the great number of elements that compose them and their interactions. This paper describes a multi-agent approach for modeling such systems. All of their parts are considered and are modeled by using adequate agents. The set of preoccupations were identified to find convenient multi agent models for their resolutions. Then, we implemented our application by using a MADKIT multi-agent platform. The main goal of this work is to build a simulator based on reactive agents able to translate this complex industrial system into a data processing programs that can represent its structure, its behavior, its interaction, its control loops and verify the integrity and its proper functioning. A concrete application of this approach was materialized by building an industrial gas process simulator.Industrial systems become more and more complex. This complexity is due to the great number of elements that compose them and their interactions. This paper describes a multi-agent approach for modeling such systems. All of their parts are considered and are modeled by using adequate agents. The set of preoccupations were identified to find convenient multi agent models for their resolutions. Then, we implemented our application by using a MADKIT multi-agent platform. The main goal of this work is to build a simulator based on reactive agents able to translate this complex industrial system into a data processing programs that can represent its structure, its behavior, its interaction, its control loops and verify the integrity and its proper functioning. A concrete application of this approach was materialized by building an industrial gas process simulator.Industrial systems become more and more complex. This complexity is due to the great number of elements that compose them and their interactions. This paper describes a multi-agent approach for modeling such systems. All of their parts are considered and are modeled by using adequate agents. The set of preoccupations were identified to find convenient multi agent models for their resolutions. Then, we implemented our application by using a MADKIT multi-agent platform. The main goal of this work is to build a simulator based on reactive agents able to translate this complex industrial system into a data processing programs that can represent its structure, its behavior, its interaction, its control loops and verify the integrity and its proper functioning. A concrete application of this approach was materialized by building an industrial gas process simulator.Industrial systems become more and more complex. This complexity is due to the great number of elements that compose them and their interactions. This paper describes a multi-agent approach for modeling such systems. All of their parts are considered and are modeled by using adequate agents. The set of preoccupations were identified to find convenient multi agent models for their resolutions. Then, we implemented our application by using a MADKIT multi-agent platform. The main goal of this work is to build a simulator based on reactive agents able to translate this complex industrial system into a data processing programs that can represent its structure, its behavior, its interaction, its control loops and verify the integrity and its proper functioning. A concrete application of this approach was materialized by building an industrial gas process simulator.

Industrial systems maintenance modelling using Petri nets

1999 ◽  
Vol 65 (2) ◽  
pp. 119-124 ◽  
Author(s):  
Zouakia Rochdi ◽  
Bouami Driss ◽  
Tkiouat Mohamed
Keyword(s):  
Petri Nets ◽  
Industrial Systems ◽  
Systems Maintenance
Sign in / Sign up

Export Citation Format

Share Document