An Introduction to Fuzzy Control

Driankov, Dimiter; Hellendoorn, Hans; Reinfrank, Michael

doi:10.1007/978-3-662-11131-4

Cited by 1,570 publications

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“…Simulation results show that FLC gives better performance compared to PI controller in all operating conditions. It is known that a fuzzy controller can work well with non-linear system (24) . As the wind turbine characteristic is quite non-linear and wind speed is intermittent and stochastic in nature, we propose the pitch controller equipped with FLC.…”

Section: Controller Designmentioning

confidence: 99%

“…11 in which the linguistic variables are represented by NB (Negative Big), NS (Negative Small), Z (Zero), PS (Positive Small), and PB (Positive Big). The grade of input membership functions can be obtained from the following equation (24) .…”

Section: Fuzzificationmentioning

confidence: 99%

“…In this work, for the inference mechanism Mamdani's max-min (or sumproduct) (24) method is used. The center of gravity method (24) is used for defuzzification to obtain β cmdn , which is given by the following equation:…”

Section: Inference and Defuzzificationmentioning

confidence: 99%

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Transient Stability Enhancement of Wind Generator by a New Logical Pitch Controller

et al. 2006

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In this paper, a new logical pitch controller equipped with fuzzy logic controller (FLC) has been proposed which can enhance the transient performance of wind turbine generator system (WTGS) when severe network disturbances occur in power system. Moreover, it can maintain the output power at rated level when wind speed is over the rated speed. Before transient stability analysis, it is necessary to determine initial values of WTGS connecting with the external network. In this paper, the initial value calculation method of WTGS is discussed also at different windy conditions. Finally, in order to evaluate the effectiveness of the proposed controller for transient stability, simulations have been carried out for severe network disturbances and windy conditions. From the simulation results it is seen that the proposed controller can enhance the transient stability of wind generator at any network, fault or windy condition as well as maintain output power of wind generator at rated level when wind speed is over the rated speed.The model system used for simulation of transient stability is shown in Fig. 1. The main purpose of using the pitch controller with wind turbine is to maintain a constant output power at the terminal of the induction generator (IG) when wind speed is over the rated speed. The proposed controller as shown in Fig. 2 can serve this purpose well. Moreover, it can also enhance the transient stability of induction generator. For the robustness of the pitch controller it is necessary to sense the terminal voltage of IG as the controller input. If the IG rotor speed increases to threshold value, i.e. 3% increase from its rated speed, the controller works in speed control mode, where W THR IG is the threshold value. Pitch controller operating status will be determined by a status gain whose input will be the output of logical comparator. The performance of the proposed pitch controller equipped with FLC is compared to that of equipped with PI controller. The power and speed response of IG after a 3LG fault in power system are shown in Fig. 3 and Fig. 4 respectively. It is clear Mohd. Hasan Ali * MemberRion Takahashi * MemberToshiaki Murata * MemberJunji Tamura * MemberIn order to investigate the impacts of the integration of wind farms into utilities networks, transient stability should be analyzed before connecting wind turbine generator system (WTGS) to the power system. In this paper, a new logical pitch controller equipped with fuzzy logic controller (FLC) has been proposed, which can enhance the transient performance of WTGS during severe network disturbances. Moreover, it can maintain the output power at rated level when wind speed is over the rated speed. Before transient stability analysis, it is necessary to determine initial values of WTGS connected to the external network. In this paper, the initial value calculation method of WTGS is discussed at different wind conditions. Finally, in order to evaluate the effectiveness of the proposed controller in improving the transient stability, simul...

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Section: Controller Designmentioning

confidence: 99%

Section: Fuzzificationmentioning

confidence: 99%

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Transient Stability Enhancement of Wind Generator by a New Logical Pitch Controller

et al. 2006

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“…O sistema utiliza o operador de implicação min de Mamdani (Driankov et al, 1993) e o método de composição da soma limitada (Cox, 1994), o qual foi escolhido devidoà natureza das regras. Como cada uma define um incremento ou decremento na produção de cacau,é desejável que todas as regras ativadas tenham influência no resultado final.…”

Section: Inferência E Defuzzificaçãounclassified

“…O valor 'crisp' para variação na produçãoé obtido através do método de defuzzificação do Centróide (Driankov et al, 1993). O intervalo [-1,1] para o universo de discurso da variável de saída (cf.…”

Section: Inferência E Defuzzificaçãounclassified

Previsão de produção agrícola baseada em regras linguísticas e lógica fuzzy

Vargens

Tanscheit

Vellasco

2003

Sba Controle & Automação

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A good precision in forecasting cocoa production has become significant due to the decreasing profit margin cocoa producers have experienced in the past years. This has been caused by increasing production costs and by a reduction in international prices. This work presents a fuzzy logic system that allows farmers to forecast their cocoa production with higher precision and simplicity. The method is less costly than the one currently employed and has been devised to be part of a system that should help farm management. Farmers do not need any specific technical knowledge of the model used and results obtained so far through simulation are encouraging.KEYWORDS: Cocoa production; linguistic rules; fuzzy logic. RESUMOUma boa precisão na estimativa da produção passou a ser significativa na cacauicultura devidoà forte diminuição da margem de comercialização nosúltimos anos, provocada pela combinação do aumento dos custos da produção e pela queda da cotação internacional do produto final. Este trabalho apresenta um sistema de lógica fuzzy que permite aos fazendeiros fazer uma previsão da Artigo submetido em 20/12/00 1a. Revisão em 15/10/01; 2a. Revisão em 04/02/02 Aceito sob recomendação do Ed. Assoc. Prof. Fernando Gomide sua produção de cacau com mais precisão e simplicidade. O método propostoé de baixo custo quando comparado ao método atualmente empregado e foi projetado para ser parte de um sistema que auxilie no gerenciamento da fazenda. Sua utilização não exige do produtor conhecimento técnico específico e os resultados obtidos até o momento através de simulações são animadores. PALAVRAS-CHAVE:Produção de cacau; regras lingüís-ticas, lógica fuzzy. INTRODUÇÃONosúltimos dez anos a cacauicultura tem passado por uma mudança radical na sua forma de produção. A dizimação dos pés de cacau pela doença chamada Vassoura de Bruxa reduziu a produção a praticamente zero (Annual Report, 1996/1997. Ao longo deste tempo foram desenvolvidas pesquisas para resolver o problema e, atualmente, a CEPLAC propõe uma nova técnica de producão que permite a produção comercial uma vez que reduz sensivelmente os efeitos da Vassoura de Bruxa (Cocoa Newsletter, 1999). Contudo, esta técnica traz consigo um aumento muito grande do custo da produção em relação ao método tradicional empregado anteriormente.A cacauiculturaé uma produção agrícola de exportacão e por isso seu preçoé definido basicamente por sua cotação internacional. O preço do produto final varia dia a dia de acordo com a sua cotação nas bolsas internacionais de 'commodities' e depende do estoque in-

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A framework for fuzzy knowledge based control

Gaertner

Thirion

2000

Softw: Pract. Exper.

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Two major problems appear during the design of a framework. The first is related to synthesizing generic elements for a family of applications and connecting them to an integrated control flow. The second lies in the design of a powerful, modular, reliable architecture that is easy to (re)use and understand. The fact of including design patterns in the architecture of frameworks minimizes the second problem. Indeed, design patterns provide proven, flexible, well-engineered design solutions at a higher abstraction level than classes. Their associated documentation records information from experienced object-oriented designers about solutions to recurrent problems, about contexts in which the patterns are applicable, about forces involved and consequences related to their use. This paper presents a number of the benefits of integrating design patterns in the development of an object-oriented framework related to fuzzy logic control. It also reports on an object-oriented design for Fuzzy Knowledge Based Control (FKBC) that includes design patterns to facilitate the development, maintenance and documentation of the FKBC framework.

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An Introduction to Fuzzy Control

Abstract: The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

Cited by 1,570 publications

References 0 publications

Transient Stability Enhancement of Wind Generator by a New Logical Pitch Controller

Transient Stability Enhancement of Wind Generator by a New Logical Pitch Controller

Previsão de produção agrícola baseada em regras linguísticas e lógica fuzzy

A framework for fuzzy knowledge based control

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