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.

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.

Design and Implementation of Visual Design Datacenter for Nuclear Power Plant

2017 ◽  
Author(s):  
Lu Hui ◽  
Liu Zhong ◽  
Niu Bo ◽  
Zhang Lin ◽  
Rong Hui ◽  
...  
Keyword(s):  
Nuclear Power ◽  
Data Exchange ◽  
Rapid Development ◽  
Design Quality ◽  
Design Data ◽  
Improve Design ◽  
Engineering Software ◽  
Integration Management ◽  
Design Software ◽  
Analysis System

With the rapid development of information technology, and the projects are increasingly large, complex, and then the flaws gradually appear only by using CAD design software in the projects. Although the new engineering software has many new features, it can greatly improve design quality and efficiency, the lack of data exchange between the software, so it’s easy to form Data Silos. To solve inconsistencies and other issues caused by Data Silos, the article designs and builds a design data integration management and analysis system by JavaEE technologies and SPF.

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].

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.

LabelUX! Guidelines to support software engineers to design data labeling systems

2021 ◽  
Author(s):  
Leticia Carvalho Passos ◽  
Lucas Viana ◽  
Edson Oliveira ◽  
Tayana Conte
Keyword(s):  
Design Data ◽  
Software Engineers ◽  
Support Software

Internet-Based Delivery of CAD/CAM Capability: An Industry Case Study

1998 ◽  
Author(s):  
Simon Szykman ◽  
Ram D. Sriram
Keyword(s):  
Small Businesses ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Engineering Industry ◽  
Product Development Process ◽  
The Internet ◽  
Design Data ◽  
Computer Aided ◽  
Cad Cam

Abstract This paper presents a case study in the use of the Internet as a medium for exchange of information and delivery of computer-aided design and computer-aided manufacturing (CAD/CAM) capability. The case study describes a collaboration among researchers and staff at the National Institute of Standards and Technology (NIST), and Thar Designs, Inc., a small business in Pittsburgh, PA that designs and sells high-pressure fluid pumps. The objective of this case study is to identify the needs of small businesses in engineering industry in the area of Internet-based CAD/CAM services. The Internet-based interaction performed in this study encompassed various stages in an iterative product development process, consisting of design, data exchange, manufacturability analysis, and fabrication of a prototype.

Software Development Tools to Automate CAD/CAM Systems

2014 ◽  
pp. 190-224 ◽  
Author(s):  
N. A. Fountas ◽  
A. A. Krimpenis ◽  
N. M. Vaxevanidis
Keyword(s):  
Process Planning ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Computational Thinking ◽  
Product Lifecycle Management ◽  
Engineering Software ◽  
Computer Aided ◽  
Cad Cam ◽  
Manufacturing Software ◽  
Software Automation

In today’s modern manufacturing, software automation is crucial element for leveraging novel methodologies and integrate various engineering software environments such Computer aided design (CAD), Computer aided process planning (CAPP), or Computer aided manufacturing (CAM) with programming modules with a common and a comprehensive interface; thus creating solutions to cope with repetitive tasks or allow argument passing for data exchange. This chapter discusses several approaches concerning engineering software automation and customization by employing programming methods. The main focus is given to design, process planning and manufacturing since these phases are of paramount importance when it comes to product lifecycle management. For this reason, case studies concerning software automation and problem definition for the aforementioned platforms are presented mentioning the benefits of programming when guided by successful computational thinking and problem mapping.

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