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The article presents the results of modeling the solution to the problem of determining the reliability of the components of a multiservice communication network (MCN) based on the theory of fuzzy sets. The main characteristics of the equipment that affect the reliability parameters of the MCN are given. To solve the problem of determining the reliability of MCN components based on the theory of fuzzy sets, a multiservice network is presented in the form of a hierarchical diagram, which shows the main components of each network level. A multiservice network is presented as a parameter of the U function. The reliable state of the MCN depends on the state of the equipment at the corresponding levels. The results of modeling the solution to the problem of determining the reliability of MCN components based on the theory of fuzzy sets are presented using the mathematical apparatus of the theory of fuzzy sets and fuzzy logic in MATLAB fuzzy logic toolbox, fuzzyTECH.

Bu tezde bulanık kontrolün temeli, gelişimi, bulanık mantık kontrolcüsünün genel yapısı üzerinde durularak, çoklu kompresör sistemlerinde klasik PID kontrol algoritmasından çok farklı olarak bulanık mantık kontrol uygulama tasarım çalışması gerçekleştirilmiştir. Dizayn için gerekli olan bulanık mantık temelli yazılım geliştirme araçlarından FuzzyTECH ve CCS C paket programları öğrenilerek sistem tasarımı gerçekleştirilmiştir. Bu çalışmada 4 adet çoklu kompresör sisteminin bulanık mantık temelinde basınç kontrolünün nasıl yapılacağı oluşturulan bir simülatör sistemi üzerinde gösterildi. In this thesis, the fundamentals of fuzzy logic control, structure, practices and design of fuzzy logic controller are explained. Moreover, FuzzyTECH and CCS C, these are the software tools to develop fuzzy logic base projects explained. Using these tools how the multiple compressors systems pressure controlled in the fuzzy logic base also explained.

Este artículo presenta un trabajo desarrollado para una evaluación de la aplicación de técnicas de lógica difusa (fuzzy) al control de máquinas eléctricas, y más específicamente a un motor de inducción trifásico. Se realiza una introducción del Matlab/Simulink, utilizado para desarrollar y simular todo el sistema basado en la técnica referida. Asimismo se presenta la herramienta informática fuzzyTECH, empleada para desarrollar, depurar y posteriormente generar el código correspondiente al sistema de control. En este trabajo se compara la ejecución de un regulador fuzzy con un regulador PI y se demuestra que, mediante una elección adequada de las reglas y de las funciones pertenencia, su comportamiento dinámico es mejor, principalmente, en términos de la insensibilidad a la variación de parámetros. Los resultados obtenidos permite inferir que las técnicas de lógica difusa es posible en este tipo de aplicaciones siendo una alternativa interesante a las técnicas de control clásico., This paper reports work that is being developed in the evaluation of fuzzy logic techniques applied to the control of electrical machines, using the induction motor as an example. An overview of a CACSD (Computer Aided Control System Design) tools is also presented: Matlab/Simulink, used to design and simulate a control system based on the referred techniques; fuzzyTECH, used to design, tune and subsequently generate the code which implements fuzzy controller. The evaluation of the fuzzy logic controller behaviour is made through the comparison with a traditional PI controller and it will be shown that, with a proper selection of membership functions, its dynamic response is better, namely in terms of robustness. From the results obtained, it can be concluded that the use of fuzzy logic control for this kind of applications is not only viable, but also an interesting alternative to more conventional techniques., (undefined)

Este artigo descreve o trabalho desenvolvido na avaliação da aplicação de técnicas de lógica fuzzy ao controlo de máquinas eléctricas, e mais concretamente a um motor de indução trifásico. É feita uma apresentação do Matlab/Simulink usado para projectar e simular todo o sistema baseado na técnica referida. É igualmente apresentado a ferramenta informática fuzzyTECH que foi usada para projectar, afinar e posteriormente gerar o código correspondente ao sistema de controlo fuzzy para o microcontrolador 80C196KC da Intel, que posteriormente será utilizado no hardware onde será efectuada a respectiva implementação. É ainda comparado o desempenho do controlador fuzzy com um controlador PI.

Until not long ago, most fuzzy logic based control applications were limited to the management of user interfaces, sensors and actuators, corresponding to slow software operation. These techniques are specially appropriated whenever the system model is nonlinear and/or difficult to obtain. Is it viable to use fuzzy logic in faster "real time" applications? Is it interesting to use these techniques even when the system model is known (including linear cases)? The authors are trying to answer some of these questions by applying fuzzy logic to control electrical machines. In this paper, they use a slip control scheme for a three-phase induction motor fed by a voltage-source PWM inverter as an example. The evaluation of the fuzzy logic controller behaviour is made through the comparison with a traditional technique (PI controller with antiwindup mechanism), using computer simulation (performed with Matlab/Simulink) and experimental results. Implementation was made using the fuzzyTECH software tool to design the fuzzy logic controller and to produce C-code for an Intel 80C196KC microcontroller. An 1 kW three-phase induction motor fed by a voltage source IGBT power module was used in the experiments.