scholarly journals Análisis de controladores PID para una planta de segundo orden usando redes neuronales

Athenea ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 27-31
Author(s):  
César Naranjo ◽  
Flor Romero
Keyword(s):  
Control Systems ◽  
Engineering Practice ◽  
Control Engineering

Los sistemas de segundo orden son aquellos que responden a una ecuación diferencial de segundo orden. Se plantea el estudio de un sistema de segundo orden, dado por un circuito eléctrico RC. Se determinó la ecuación de transferencia y se analizó la respuesta transitoria empleando el método del Lugar Geométrico de las Raíces, así mismo se determinaron los coeficientes del controlador PID. A partir de la respuesta del controlador PID se creo y entreno una red neural backpropagation para su posterior sustitución del controlador PID clasico. En este trabajo se realiza el análisis de un caso de estudio de controladorPID donde se ha implementado una red neuronal artificial para evaluar la respuesta del mismo. Se observa que los resultados son aceptables y con un buena respuesta transitoria. Palabra Clave: planta de segundo orden, MATLAB, lugar geométrico de las raíces, red neural, retropropagación. Referencias [1]Sistema de control en lazo cerrado. , «Sistema de control en lazo cerrado.,» [En línea]. Disponible: http://www.des.udc.es/~luis/ControlIndustrial/CI.pdf. [Último acceso: 03 agosto 2008]. [2]K. Astrom y T. HAgglum, «Revisando el método de respuesta escalonada de Ziegler-Nichols para el control PID,» Diario de control de procesos, vol. 14, nº 6, pp. 635-650, 2004. [3]A. Hirata, L. Biagi, B. Angélico, P. Scalassara, W. Endo and R. Rodrigues, «implementação de um pid digital em ambiente computacional aplicado a uma planta didática para ensino de controle para engenharia,» de XLI Congreso Brasileiro de Educación en Ingeniería, Brasil, 2013. [4]G. Kiam Heong Ang y Chong and Yun Li, «Análisis, diseño y tecnología del sistema de control PID,» IEEE Transactions on Control Systems Technology , vol. 13, no. 4, págs. 559-576, julio de 2005, doi:, vol. 13, nº 4, pp.559-576, 2005. [5]K. Astrom and T. Hagglum, «El futuro del control PID,» vol. 9, nº 11, pp. 1163-1175, Control Engineering Practice. [6]Sistemas de segundo orden. Referencia electrónica en línea. , «Sistemas de segundo orden. Referencia electrónicaen línea.,» [En línea]. Disponible en: http://es.wikipedia.org/wiki/Sistemas_de_segundo_orden. [Último acceso: 12 agosto 2008].

Control education in the software age

2022 ◽  
Vol 70 (1) ◽  
pp. 3-12
Author(s):  
Jan H. Richter
Keyword(s):  
Control Systems ◽  
Data Exchange ◽  
Engineering Practice ◽  
Universal Functions ◽  
Design Data ◽  
Control Engineering ◽  
Engineering Software ◽  
Software Engineers ◽  
Academic Control ◽  
Control Education

Abstract According to a commonplace saying, software is eating the world. Is software also eating control engineering? Software is currently transforming many industries including but not limited to automotive aiming at automated mobility services, agriculture moving to Agriculture 4.0, and factory automation with Industry 4.0. Software is simultaneously a flexible and universal functions enabler, and a driver of engineering complexity. At times, it seems that control engineers and software engineers are not understanding each other well enough. This article discusses two key engineering domains adjacent to control, systems and software engineering, covering engineering practice, design data exchange, and education. Finally, it suggests an extension to academic control curricula help to make control graduates even better team players.

A Basic Analysis of the Application on Linux and μC/O Dual-Core Embedded Operating System in Engineering Practice

2012 ◽  
Vol 246-247 ◽  
pp. 57-61
Author(s):  
Lin Li ◽  
Chan Ji Shan ◽  
Jun Luo ◽  
Nan Xu
Keyword(s):  
Operating System ◽  
Control Systems ◽  
Mobile Communications ◽  
Rapid Development ◽  
Numerical Control ◽  
Engineering Practice ◽  
Embedded Operating System ◽  
Core System ◽  
Research Areas ◽  
Dual Core

With the development of linux and μC/O dual-core embedded operating system, its research areas have been broadened wider and wider. This paper aims to illustrate its importance in engineering practice on the basis of its application in the technological process of injection molding machines and numerical control machines to arrive at its natural conclusion that dual-core system has a brighter and wider prospect by using Linux and μC /OS to solve the problems of Linux because it is more and more widely applied in engineering, mechanical control systems and many other fields such as mobile communications as well as digitalized network, and now is becoming more and more demanded with the rapid development of scientific technology.

Application of Mobile Robots to Linear Control Theory Education

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Satoko Yamakawa
Keyword(s):  
Control Theory ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Control Systems ◽  
Linearization Method ◽  
Linear Control ◽  
Linear Control Systems ◽  
Control Engineering ◽  
Linear Control Theory ◽  
Dc Motors

Abstract The knowledge of control engineering for mechanical engineers seems to become more important with the continuous development of automated technologies. To cultivate this knowledge, many experimental devices have been proposed and used. Devices with direct current (DC) motors are widely used because the DC motors can be controlled with sufficient accuracy based on the classical linear control theory. Mobile robots are used as educational platforms attracting the attention of students in various problem-based learning subjects. However, they have been hardly used to teach linear control theory because of the nonlinearity. This paper shows an experimental curriculum to learn control theory using a mobile robot instead of a motor. Although the model of the mobile robot is nonlinear, a strict linearization method makes it possible to adjust the control gains using the linear control theory. By applying the method, the characteristics of linear control systems are explicitly observed in the traveling paths of the mobile robot, so an experimental curriculum to learn the basic linear control theory can be realized using an inexpensive mobile robot. The proposed experimental curriculum was carried out in a class of a mechanical engineering course, and its results are discussed in this paper.

On Uniqueness of Filippov’s Solutions for Non-Smooth Systems Having Multiple Discontinuity Surfaces With Applications to Control Engineering

2004 ◽  
Author(s):  
Qiong Wu ◽  
Hairong Zeng ◽  
Nariman Sepehri
Keyword(s):  
Control System ◽  
State Space ◽  
Control Systems ◽  
Convex Sets ◽  
Discontinuity Surface ◽  
Control Engineering ◽  
Smooth Control ◽  
Discontinuity Surfaces ◽  
Uniqueness Of The Solution

The analysis of the uniqueness of Filippov’s solutions to non-smooth control systems is important before the solutions can be sought. Such an analysis is extremely challenging when the discontinuity surface is the intersecting discontinuity surfaces. The key step is to study the intersections of the convex sets from Filippov’s inclusions and the sets containing vectors tangent to the discontinuity surfaces. Due to the fact that all the elements of these sets are functions of the states and time and their numerical values can not be obtained before the uniqueness of the solution is analyzed, the determination of such intersections, symbolically, is extremely difficult. In this paper, we propose to firstly transform the control system to a new state space where the discontinuity surfaces can be written in special forms. Secondly, we expand the sets associated with Filippov’s inclusion such that the determinations of the intersections become feasible. Two examples of practical non-smooth control systems are presented to demonstrate the efficacy of the method.

RIGOROUS ENGINEERING PRACTICE AND FORMAL REASONING OF DEEP DOMAIN KNOWLEDGE—THE BASIS OF DEPENDABLE KNOWLEDGE BASED SYSTEMS FOR PROCESS PLANT CONTROL

1993 ◽  
Vol 03 (01) ◽  
pp. 53-98 ◽  
Author(s):  
SANDRO BOLOGNA ◽  
TERJE SIVERTSEN ◽  
HEIKKI VÄLISUO
Keyword(s):  
Artificial Intelligence ◽  
Domain Knowledge ◽  
Engineering Practice ◽  
Knowledge Based Systems ◽  
Control Engineering ◽  
Engineering Software ◽  
Knowledge Based ◽  
Process Plant ◽  
Verification Process ◽  
The Many

Knowledge based systems are often used to replace humans in solving problems for which only heuristic knowledge on the solution is available. However, there are also important application areas where nonheuristic knowledge is available e.g. in technical documents but where efficient use of the knowledge is impossible without the techniques provided by artificial intelligence. High dependability of these kinds of applications can be achieved if domain knowledge can be represented in a language providing both adequate representational constructs and the required level of formality. In addition, the language should be supported by powerful tools assisting in the verification process. Knowledge Based Systems, despite the different technology employed, are still nothing more than a computer program. Unfortunately, quite a few people building knowledge based systems seem to ignore the many good programming practices that have evolved over the years for producing traditional computer programs. What we need is a framework for the modelling of the KBSs development. In our work, it is claimed that these requirements can be met by utilizing and combining ideas from control engineering, software engineering and artificial intelligence.

A Report on the Mechanical and Control Engineering Practice for Creativity Education by Developing PIC Control Products

2003 ◽  
Vol 2003.5 (0) ◽  
pp. 197-198
Author(s):  
Akihiro KANESHIGE ◽  
Hisashi ITOH ◽  
Kazuhiro MORINO ◽  
Yoshihisa TODA
Keyword(s):  
Engineering Practice ◽  
Control Engineering ◽  
And Control

Persist in Cultivation of Engineering Drawing Ability & Improve Ability of Students' Engineering Practice

2011 ◽  
Vol 199-200 ◽  
pp. 1640-1644 ◽  
Author(s):  
Bing Chen ◽  
Yu Guang Fan ◽  
Chun Yan Wu
Keyword(s):  
Process Equipment ◽  
Engineering Practice ◽  
Engineering Drawing ◽  
Control Engineering ◽  
Teaching System ◽  
Practice Teaching ◽  
Drawing Ability ◽  
And Control

Currently, the education of engineering college faces the pivotal problem of how to improve students' engineering practice ability. Combining the practice teaching system of engineering practice ability cultivation for the major of process equipment and control engineering in our college, four-year continuous persistent cultivation of engineering drawing ability can improve the students' engineering practice ability effectively and practically.

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