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Fuzzy Logic Based Indirect Vector Control for Induction Motor

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Vector Control of Induction Machines

systems. Vector Control of Induction Machines is written for researchers and postgraduate students in electrical engineering and motor drive;

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Parameter Identification for Induction Motor Drives

Networks and Fuzzy Logic for conditions including speed sensorless control. The techniques discussed in this book could be easily extended to most;

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Applications of Various Fuzzy Sliding Mode Controllers in Induction Motor Drives

of an indirect field-oriented control (IFOC) for Induction Motor (IM) drive, which include development and implementation FSMCs and related;

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Fuzzy Logic Speed Controllers Using FPGA Technique

; a three- phase induction motor (squirrel cage type) is selected as a case study. The Fuzzy logic control demonstrates a good performance;

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INDUCTION MOTORS Dynamics and Vector Control

Vector control is a method for dynamic control of the speed torque and power factor of the induction motor through permanent control of the;

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Fuzzy Control Systems

examines fuzzy logic based encoder-less speed controls of permanent-magnet synchronous motors (PMSM) for hub motor drives. Chapter Four presents;

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Modeling and Control of AC Machine using MATLAB (R)/SIMULINK

Serves as text book for electrical motor modeling, simulation and control; especially modeling of induction motor and doubly fed induction motor;

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Modeling and Control of AC Machine using MATLAB (R)/SIMULINK

Serves as text book for electrical motor modeling, simulation and control; especially modeling of induction motor and doubly fed induction motor;

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Soft Computing with NeuroFuzzy Systems

system in speed control of induction motor drives; neuro-fuzzy based interline power flow controller for real time power flow control;

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Vector Control of AC Drives

treatment of vector control of induction and synchronous motor drives using the concepts of general flux orientation and the feed-forward (indirect;

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Applied Intelligent Control of Induction Motor Drives

various induction motor drive operations. The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two;

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Artificial-Intelligence-based Electrical Machines and Drives

Recently artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have;

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Development of Adaptive Speed Observers for Induction Machine System Stabilization

operating conditions. The book also presents a robust speed controller design for a sensorless vector-controlled induction motor drive system based;

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Direct Eigen Control For Induction Machines And Synchronous

) and interior permanent magnet synchronous motor (IPM-SM) Direct Eigen Control for Induction Machines and Synchronous Motors provides a clear;

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Aspects of Induction Motor Stator Voltage and Frequency Control

Direct implementation of Constant Flux Control of Induction Motor is difficult due to the lumped nature of winding parameters. Engineers;

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Fuzzy Control Systems

solutions. Control systems based on the fuzzy logic theory can become more functional and flexible in comparison with conventional control systems;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Intelligent Adaptive Control: Industrial Applications

application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.;

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Uncertain Rule-Based Fuzzy Logic Systems

For courses in Neural Networks and Fuzzy Systems; Fuzzy SystemsControl; Fuzzy Logic.The first book of its kind, this text explains how all;

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Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model;

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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and;

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Fuzzy Logic

. In addition, fuzzy logic provides an inference structure that enables the human reasoning capabilities to be applied to artificial knowledge-based;

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Sliding Mode Control (SMC)

robots; the application of Takagi-Sugeno (T-S) fuzzy model in coordinated control of multiple robots system; an induction motor speed control;

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Introduction to Fuzzy Systems

fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods;

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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)

concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy;

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