In this thesis, a gas turbine simulator for the Siemens GT10C was developed and implemented. It concerns everything from the theory behind the simulator; both the hard- ware and software involved, to how the actual simulator was built using these tools. The theory concerns itself with basic automatic control concepts, as well as basic turbine theory. The simulator setup is being discussed concerning both technical and eco- nomic issues. A robust hardware solution is then selected, using the basic re- quirements, which the simulator then is built around. The tools used are the Siemens SIMATIC automatic control system and the Siemens SIMIT real-time simulator using a SIMBA Pro PCI card to interface with the PLC:s in the SIMATIC system. Matlab are also used to a lesser extent to build the simulator behavior in SIMIT. In the end, a fully featured simulator is presented that can be used for various purposes such as training operators, trying out new concepts and testing the automatic control system used to control the turbine. Further development that could be done, by other engineers, in the future, is also discussed.

This thesis presents an approach for device information modeling that is meant to ease the challenges of device manufacturers in the automation domain. The basis for this approach are semantic models of the application domain. The author discusses the challenges for integration in the automation domain and especially regarding field devices, device description languages and fieldbuses. A method for the generation of semantic models is presented and an approach is discussed that is meant to help the generation of device descriptions for different device description languages. The approach is then evaluated.

This master’s thesis aims to familiarize with the types of signals used in industrial automation technology. Below are the methods for their processing and transfering to the PLC control system It is described method of processing these signals using an industrial controller of the S7 - 300 and a program for creating visualizations SIMATIC WinCC V7.0. The second part of the master’s thesis deals with the implementation of the control software of a specific technological process.

This thesis presents an approach for device information modeling that is meant to ease the challenges of device manufacturers in the automation domain. The basis for this approach are semantic models of the application domain. The author discusses the challenges for integration in the automation domain and especially regarding field devices, device description languages and fieldbuses. A method for the generation of semantic models is presented and an approach is discussed that is meant to help the generation of device descriptions for different device description languages. The approach is then evaluated.

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-01-26T21:32:00Z No. of bitstreams: 1 LuizGustavoSantosBezerra_DISSERT.pdf: 3839629 bytes, checksum: 21df0eba070dadcafbbe2b09f7c40495 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-02-02T19:45:35Z (GMT) No. of bitstreams: 1 LuizGustavoSantosBezerra_DISSERT.pdf: 3839629 bytes, checksum: 21df0eba070dadcafbbe2b09f7c40495 (MD5) / Made available in DSpace on 2016-02-02T19:45:35Z (GMT). No. of bitstreams: 1 LuizGustavoSantosBezerra_DISSERT.pdf: 3839629 bytes, checksum: 21df0eba070dadcafbbe2b09f7c40495 (MD5) Previous issue date: 2015-01-26 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico - CNPq / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / Este trabalho apresenta o desenvolvimento de um sistema de detec??o e diagn?stico de falhas em sensores de campo com corre??o do sinal com falhas dinamicamente, onde esse sistema ? baseado no conceito de agentes inteligentes, em uma arquitetura de multiagentes. O sistema tem como ambiente de atua??o a rede industrial Foundation Fieldbus. Para realizar a detec??o e o diagn?stico das falhas, s?o utilizados os algoritmos de redes neurais artificiais e l?gica fuzzy (atuando como classificador fuzzy), os quais s?o embarcados na rede industrial Foundation Fieldbus. Al?m disso, de forma a atuar junto ao sistema de detec??o, diagn?stico e corre??o de falhas foi desenvolvido um software que realiza o monitoramento e a supervis?o do mesmo, onde foi instanciado um agente se comunicando com a rede industrial. Os demais agentes s?o instanciados nos blocos funcionais da rede industrial. / This work performs the development of a system of detection and diagnosis of faults in field sensors with dynamically signal correction, which this system is based on the concept of intelligent agents, using architecture of multagents. The system operates in environment industrial network Foundation Fieldbus. To perform the detection and diagnosis of failures are used the algorithms of neural networks and fuzzy logic (acting like a fuzzy classifier), which are embedded in industrial network Foundation Fieldbus. Furthermore, in order to work with the system of detection, diagnosis and correction of failures was developed a software to perform the monitoring and supervision of the system, which was instantiated an agent communicating with the industrial network. The other agents are instantiated on the functional blocks of industrial network.

Orientador: Ana Maria Frattini Fileti / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica / Made available in DSpace on 2018-08-13T07:13:35Z (GMT). No. of bitstreams: 1 Fujiki_TatianaLie_M.pdf: 4171897 bytes, checksum: 8d38eee477ead69185c0d88b51cbeccd (MD5) Previous issue date: 2009 / Resumo: A demanda de mercado com relação à qualidade dos produtos, à produtividade e lucratividade dos processos e à questão ambiental tem forçado as indústrias a buscar melhorias nos processos. Com esta finalidade, os engenheiros têm buscado no Controle de Processos soluções para sistemas não lineares e/ou transientes. Sistemas de controle avançados, baseados em Redes Neurais Artificiais (RNA), por serem adequados para modelar relações não lineares, podem ser indicados como soluções para estes casos. Neste trabalho, as equações algébricas de um modelo neural foram implementadas numa planilha do Microsoft Excel. O modelo neural foi treinado com o algoritmo de Levenberg- Marquardt, utilizando o toolbox de redes neurais do MATLAB e os pesos e bias encontrados foram inseridos na planilha. O monitoramento do sistema foi feito através de uma rede digital Fieldbus, configurada através do software Syscon. O sistema supervisório utilizado foi o Indusoft Web Studio, sendo a comunicação entre estes dois programas feita através do protocolo Ole for Process Control (OPC). A atualização das variáveis de entrada do modelo neural foi realizada através do sistema Open Data Base Connectivity (ODBC), responsável pela troca de informações entre o Indusoft e o Excel. A variável controlada um instante de amostragem à frente é automaticamente calculada a cada instante de amostragem e usada como função-objetivo no Solver do Excel (minimizar o erro quadrático). Restrições foram adicionadas ao método do gradiente descendente generalizado para que uma solução adequada fosse encontrada dentro de uma faixa de valores da variável manipulada. Como caso-estudo, este sistema de controle alternativo foi utilizado para controlar a temperatura interna de um tanque de precipitação de bromelina com etanol a frio, para evitar desnaturação da enzima. O processo de precipitação a partir de caldo de abacaxi foi realizado num tanque encamisado operando em regime de batelada alimentada, com agitação constante. O controle da temperatura do meio precipitante é feito através da manipulação da rotação da bomba de fluido refrigerante (propilenoglicol). Dados experimentais (75% do banco de dados de ensaios em malha aberta) foram utilizados para treinar a rede feed forward multicamadas. As variáveis de entrada da RNA, atualizadas a cada 4 segundos, são: temperatura do etanol, temperatura do meio precipitante (variável controlada), temperaturas de entrada e de saída do propilenoglicol, nível de líquido, rotação da bomba de propilenoglicol (variável manipulada) e degrau na bomba de propilenoglicol. Na camada intermediária, a função de ativação tangente hiperbólica foi aplicada a 14 neurônios. A variável de saída da rede é a temperatura do meio um instante de amostragem à frente, com a função de ativação linear. Testes offline com dados não vistos no treinamento mostraram que a RNA foi capaz de prever a temperatura do tanque, já que os coeficientes angular e linear dos gráficos de dispersão (saída calculada versus saída real) aproximavam-se de um e zero, respectivamente. O controlador alternativo foi implementado e os resultados experimentais mostraram sua efetividade em manter a temperatura do meio em torno do set-point (5°C). / Abstract: Intelligent systems, based on Artificial Neural Networks (ANN) have been studied as alternative solutions for ill-defined plants or nonlinear and transient systems, due to the worldwide market requirements for high standard products and safe and environmentally friendly processes. In this work, the algebraic equations of a neural model were implemented in a Microsoft Excel worksheet. This ANN was previously trained with Levenberg-Marquardt algorithm, using the ANN toolbox of MATLAB and the optimized weights and biases were inserted in the worksheet as well. By means of a digital Fieldbus network architecture, configured by Syscon Software, the data acquisition and process control were performed. The Indusoft Web Studio was employed as supervisory software and the communication between these two softwares was achieved through Ole for Process Control protocol. Since the data acquisition system is supposed to update the ANN input variables in the worksheet, information is exported from Indusoft to Excel through Open Data Base Connectivity system, which was properly configured. The onestep-ahead controlled variable is automatically predicted every sample time and then used in the objective function of the Excel Solver (quadratic error minimization), implemented via Visual Basic programming. Restrictions were added to the quasi-Newton optimization method so that a smooth solution could be found inside a suitable range of the manipulated variable. As a case-study, this alternative system was implemented to control the temperature of a bromelain precipitation tank. The bromelain recovery from pineapple juice was carried out in a fed-batch stirred tank, using precipitation with ethanol at low temperature to avoid protein denaturation. The coolant (propylene glycol) flow rate was manipulated through a variable speed pump. Experimental data (75% of the database from open-loop tests) was used to train a multi-layered feed forward ANN. The ANN input layer variables, updated every 4 seconds, were chosen as follows: ethanol temperature, bulk temperature (controlled variable), coolant inlet temperature and coolant outlet temperature, liquid volume, pump flow rate (manipulated variable) and pump flow rate variation. In the hidden layer a hyperbolic tangent function was applied to 14 neurons. The output variable was the one-step-ahead bulk temperature, using the linear activation function. Offline tests with unseen data proved that the ANN successfully predicted the tank temperature, as the linear fitting slope coefficient of the dispersion plots (network output versus target vector) was close to the unity and the interception coefficient was around zero. The alternative controller was implemented and experimental results showed its effectiveness in maintaining the bulk temperature around the set-point (5°C). From the present results it was clearly shown that this methodology is a promising new way to face complex process control problems and the tendency is to increase their range of applicability in industrial processes. / Mestrado / Sistemas de Processos Quimicos e Informatica / Mestre em Engenharia Química

This document discusses the concept of drivers implemented within the context of the REMPLI (Real-Time Energy Management over Power line and Internet, see section 1.8.) network. The process image approach and the tunnelling approach are presented and reasoning is given why the tunnelling approach is preferred. Each of the drivers implemented is associated with a specific metering protocol. This document further discusses the general architecture of such a driver structure. The generic software architecture serves as a framework for integrating serial communication based metering protocols over packet-orientated remote networks and meters, by tunnelling the protocol data units to the remote meters. Principally each Protocol Driver consists of three parts, one part situated at the Application Server, one at the Access Point and one at the Node. This document then gives a description of the general driver structure within the REMPLI network and briefly explains the functions of all the modules contained within the driver structure. An example is used to show how these modules, which make up the software architecture of the Protocol Driver, are used to send an application generated request from the Application Server to the Metering Equipment and sending the response back from the remote Metering Equipment to the Application Server. This dissertation further discusses the need for address translation within the REMPLI network and the need to restrict access to meters by using these addresses and an access control list. This document also discusses the need for a “Keep-alive” signalling scheme, if supported by the underlying protocol and gives a general concept as to how it should be implemented. The role of an Optimization Module is also discussed for low bandwidth networks by means of an M-Bus example. Finally the M-Bus protocol driver implementation is discussed. The results achieved are presented, showing that the driver architecture can successfully be used to tunnel the M-Bus protocol to remote meters, provided the underlying network conforms to the quality of service requirements determined by the implemented metering protocol. The work proposed in this document started off as part of the REMPLI project by the REMPLI team but was completed independently. / Dissertation (MEng (Computer Engineering))--University of Pretoria, 2008. / Electrical, Electronic and Computer Engineering / unrestricted

No description available.

Beim Entwurf großer Netzwerke der Automation ermöglichen Methoden der Leistungsbewertung den Test und die Dimensionierung eines Netzwerkes bereits vor der Inbetriebnahme und erlauben damit einen effizienten, qualitätsorientierten Entwurf. Es ist jedoch sehr wissensintensiv und aufwendig, entsprechende Analyse- oder Simulations-Modelle aufzustellen und die Ergebnisse auszuwerten, weshalb die Methoden in der Praxis der Automation selten verwendet werden. Viel vertrauter sind dem Entwerfer hingegen die speziellen Software-Tools, mit denen in der Automation Netzwerke entworfen werden. Auf Basis der Datenbanken dieser Tools werden in dieser Arbeit verschieden Verfahren zur automatischen Systemmodellierung, Verkehrsmodellierung, Leistungsbewertung und Fehlerdiagnose zu einem Control Network Performance Engineering kombiniert, welches die Qualitätsbewertung und -beratung nahtlos und ohne Mehraufwand in den Netzwerkentwurf integriert. (Die Dissertation wurde veröffentlicht im Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Internet: http://www.vogtverlag.de/, email: info@vogtverlag.de, ISBN 978-3-938860-10-6) / During the design of large automation networks, performance analysis methods can be used for testing and dimensioning the network before implementation and are essential for an efficient and reliable design process. However, setting up the necessary analytical or simulative models is time-consuming, requires in-depth knowledge, and is therefore often not applicable in practice. The network designers are much more used to the design tools used to develop automation networks. Based on these tools' databases various methods for automated system and traffic modeling, performance analysis and diagnoses are combined in the control network performance engineering that seamlessly integrates quality analysis and consulting into network design without requiring additional effort. (This manuscript is also available - in the form of a book - from Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Germany world-wide web address: http://www.vogtverlag.de/, electronic-mail address: info@vogtverlag.de, ISBN 978-3-938860-10-6 )

This thesis describes the possibilities of local and remote sensors configuration. Summary overview of the most common Fieldbus and protocols for remote configuration is performed. The focus is mainly dedicated to the HART protocol that is analyzed from the physical layer to the application layer. Circuit diagram and printed circuit board (PCB) of smart sensor with thermistor probe Pt1000 was designed. The HART protocol allows the smart sensor parameters setting as well. The functionality of remote configuration was tested in HARTWinConf program. The control elements for local sensor configuration, such as buttons, matrix keyboards and touchscreens, are described in the following chapter. Representation of the measurement values on display module is introduced too. The most important parameters and aspect of character LCD, graphics LCD and OLED displays are described in greater details. The DD12864YO-3A OLED display was selected to use with designed temperature smart sensor module. The display shows the loop current, the percentage of current range and the primary value - temperature. As the last step the EMI and EMS tests for all modules were performed.