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39 results for “fuzzy logic controller”

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Research ArticleOpen accessIn the abstractTakagi-Sugeno Fuzzy Gains Scheduled PI Controller for Enhancement of Power System StabilityLokman H. Hassan, M. Moghavvemi, Haider A.F. MohamedProblem statement: Power system oscillations affect system stability and may lead to failure if not properly controlled. Approach: A Takagi-Sugeno Fuzzy Gains Scheduled Proportional and Integral (FGPI) controller was proposed for a Thyristor Controlled Series Capacitor (TCSC)-based stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters on-line in different … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Based Digital Automatic Voltage Regulator of a Synchronous Generator with Unbalanced LoadsA. Darabi, S.A. Soleamani, A. HassanniaVoltage stability and power quality of the electrical systems depend on proper operation of the Automatic Voltage Regulators (AVR) of generators. Nowadays, design technology of the AVRs is being broadly improved. According to wide range operating conditions of the generators and loads, the fuzzy AVRs are going to be the modern type of regulators, particularly, for the genset alternators operating … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2008 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Advantages of PID Fuzzy Controllers Over The Conventional TypesAbdullah I. Al-Odienat, Ayman A. Al-LawamaFuzzy logic controllers (FLC's) have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. A self-organizing fuzzy controller can automatically refine an initial approximate set of fuzzy rules. Application of PI-type fuzzy controller increases the quality factor. In this … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 18,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal Time Hybrid Controller Implementation for Switched Reluctance Motor DriveS. Paramasivam, R. ArumugamThis study presents the real time hybrid controller implementation for a Switched Reluctance motor Drive. The developed hybrid control law consists of Proportional Integral (PI) controller at steady state, PI-type fuzzy logic controller (FLC) at transient state and a simple logic controller between steady and transient states to achieve desired performance at various operating conditions under soft chopping operation. The … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 7,240 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA REVIEW OF INTELLIGENT CONTROL SYSTEMS APPLIED TO THE INVERTED-PENDULUM PROBLEMPedro Ponce, Arturo Molina, Eugenio AlvarezThis study shows the latest advances in the application of intelligent control to the inverted-pendulum problem. A complete review regarding intelligent control design is presented in this study in order to show the most important artificial intelligence methods used for controlling an Inverted-Pendulum. Also this study proposed the use of a neural-fuzzy-with-genetic-algorithms controller for the inverted pendulum problem which gives … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 2 · 7 Apr 2014 · 8,379 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDigital Simulation, Design, Comparitive Analysis of Intelligent Controllers in Adjustable Speed Drives for PQ EnhancementA. Srikrishnan, B. Justus RabiProblem statement: This study deals with the analysis, design and comparison between fuzzy and genetic based adjustable speed drives with respect to the parameters which determines the quality of power. Approach: ASD system using fuzzy controllers provide ride-through capability during voltage sags, reduces harmonics, improves power factor and is highly reliable, whereas by using genetic algorithm optimized ASD systems, the … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,012 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDevelopment of Fuzzy Controller for Water Level in Stream Boiler TankSurachai PanichProblem statement: The process control of steam boiler is very popular used in the industrial. The temperature of the water is transferred directly by electrical heater. The pressure will increase based on the changing of the temperature. The purpose of the control is to change the opening set point for the valve when the temperature and pressure in the tank … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 8,035 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAdvances in Electromyogram Signal Classification to Improve the Quality of Life for the Disabled and Aged PeopleMd. R. Ahsan, Muhammad I. Ibrahimy, Othman O. KhalifaProblem statement: The social demands for the Quality Of Life (QOL) are increasing with the exponentially expanding silver generation. To improve the QOL of the disabled and elderly people, robotic researchers and biomedical engineers have been trying to combine their techniques into the rehabilitation systems. Various biomedical signals (biosignals) acquired from a specialized tissue, organ, or cell system like the … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 8,813 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUsing an Adaptative Fuzzy-Logic System to Optimize the Performances and the Reduction of Chattering Phenomenon in the Control of Induction MotorM. M. Krishan, L. Barazane, A. KhwaldehProblem statement: Neural networks and fuzzy inference systems are becoming well-recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance. Also, by combining these two features, more versatile and robust models, called “neuro-fuzzy” architectures have been developed. The mo Approach: Motivation behind the use of neuro-fuzzy approaches was based on … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,523 accessesView PDFCite