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| Author | : Obinna Anyim |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 112 |
| Release | : 2017-06-19 |
| Genre | : |
| ISBN | : 9783330333574 |
Download Fuzzy Logic Based Speed Control of Three-Phase Induction Motor Drive Book in PDF, ePub and Kindle
Conventional controllers like the proportional integral differential (PID) would have being very effective not just for speed control alone, if not for some complexities with individually controlling its respective controllers and summing up their individual contributions to effectively yield controlled signal output. Also, for its insensitivity to changes made to model parameters which may be as a result of misrepresentation of some control variables. As a result of this, developing an intelligent based fuzzy logic controller (FLC) became eminent, and on this basis, this book is written. By varying the motor speed with input reference speed, an error signal and a feedback loop is generated. The FLC then operates on the principles of mapping with corrective measure of the error signal generated and it is regulated by sets of IF-THEN rules integrating the Mamdani fuzzy inference approach. The rules projected and formed are used to overcome the drawbacks of conventional controllers. Since induction motors are widely used in many industries today, most especially squirrel caged, an intelligent approach to the control of these motors will save cost, increase reliability and efficiency
| Author | : Marwan A. A. Badran |
| Publisher | : |
| Total Pages | : 248 |
| Release | : 2013 |
| Genre | : Electric motors, Induction |
| ISBN | : |
Download Microcontroller-based Fuzzy Logic Speed Controller for Three-phase Induction Motor Book in PDF, ePub and Kindle
Three-phase induction motors have been used in a wide range of industry applications; since they are robust, brushless and have simple design. Furthermore, the speed of induction motor can be easily controlled by variable frequency drives. The continuous development in power electronics semiconductors came out with modern electric drives. These drives use high speed power transistors, like IGBT and MOSFET, with various switching techniques. The speed control of induction motor is important to achieve maximum torque and efficiency. In the past decades, conventional control systems, such as proportional-integral derivative (PID) controller, were applied to electric drives to control the speed of induction motor. The PID controller is not a well established control method in motor drive because of the nonlinearity of induction motor. On the other hand, the use of Fuzzy Logic Controller (FLC) improves the performance of the speed control of induction motor. In this research, a microcontroller-based fuzzy logic controller was developed. The FLC replaces the conventional PI controller to improve the speed response of the drive in order to keep the speed of the induction motor constant when the load varies within the operating range. The research also included the design and implementation of a three-phase voltage source inverter (VSI) driven by Space Vector Pulse Width Modulation (SVPWM) signal. The control system in this research was designed using Matlab/Simulink environment. The simulation included a comparison of speed response of FLC and PI controller. The input to FLC is the linguistic variable of speed error and change of speed error, while the output of FLC is the frequency fed to the inverter. The three-phase inverter was fabricated using MOSFET Hex-bridge connected to a low-pass LC-filter to smooth the inverter output voltage wave. In order to apply FLC and generate corresponding SVPWM signals a PIC16F877A microcontroller was used in the control system. The speed controller was tested using various values of input speed using simulation and experiments. The results showed the superiority of the proposed FLC over the conventional PI controller in the dynamics response of speed. The results also showed the ability of the proposed to generate a three-phase sine wave with desired frequency to control the speed of the induction motor with THD less than 5%.
| Author | : Omar Said Algayash Bennanes |
| Publisher | : |
| Total Pages | : 224 |
| Release | : 2004 |
| Genre | : Electric motors, Induction |
| ISBN | : |
Download Simulation of Three-phase Induction Motor Control Using Fuzzy Logic Controller Book in PDF, ePub and Kindle
A fuzzy logic controller has been developed and simluated on an indirect vector control of an induction motor (IVCIM) drive system. The objective of the indirect vector control is to convert the three-phase induction motor into a linear device where the torque and the flux in the motor can be controlled independently. The induction motor is fed by a current-controlled PWM inverter. The proposed fuzzy speed controller block in a vector controlled drive system observes the pattern of the speed loop error signal and correspondingly updates its output, so that the actual speed matches the command speeds. The design of the fuzzy controller starts with identifying the inputs, performing the membership functions for the two inputs of the FLC and ends at manipulating the final command signal to the current regulator which triggers the inverter. The fuzzy logic toolbox has been used to build the fuzzy inference system (FIS) which is the dynamo of the fuzzy logic controller. The proposed FLC controller has been designed to meet the speed tracking requirements under a step change in speed and load changes. The proposed FLC drive dynamic performance has been investigated and tested under different operating conditions by simulation in the Simuling/Matlab software environment. In order to prove the superiority of the FLC, a conventional PI controller based IM drive system has also been simulated. The simulation results obtained have proved the very good performance and robustness of the proposed FLC. It is concluded that the proposed fuzzy logic controller has shown superior performances over the conventional PI controller.
| Author | : Peter Vas |
| Publisher | : Oxford University Press |
| Total Pages | : 794 |
| Release | : 1999-01-28 |
| Genre | : Computers |
| ISBN | : 9780198593973 |
Download Artificial-Intelligence-based Electrical Machines and Drives Book in PDF, ePub and Kindle
Roughly half of all electricity generated is consumed in motors, and recent efforts to apply artificial intelligence (AI) to improving electric motors are receiving attention worldwide. At present two industrial drives incorporate some form of AI. This book is the first comprehensive discussion of AI applications to electrical machines and drives. It looks at d.c. drives, induction motor drives, synchronous motor drives, switched reluctance motor drives, and sensorless drives. It combines simple explanations of AI-based systems with detailed and unified mathematical and physical treatments, and it includes numerous worked examples, simulations, and experimental results.
| Author | : L. Padma Suresh |
| Publisher | : Springer |
| Total Pages | : 973 |
| Release | : 2015-12-28 |
| Genre | : Technology & Engineering |
| ISBN | : 8132226712 |
Download Proceedings of the International Conference on Soft Computing Systems Book in PDF, ePub and Kindle
The book is a collection of high-quality peer-reviewed research papers presented in International Conference on Soft Computing Systems (ICSCS 2015) held at Noorul Islam Centre for Higher Education, Chennai, India. These research papers provide the latest developments in the emerging areas of Soft Computing in Engineering and Technology. The book is organized in two volumes and discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.
| Author | : Ahmed Jumaah Fattah |
| Publisher | : |
| Total Pages | : 57 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
Download Design and Analysis of Speed Control Using Hybrid PID-fuzzy Controller for Induction Motors Book in PDF, ePub and Kindle
This thesis presents a hybrid PIDfuzzy control system for the speed control of a three phase squirrel cage induction motor. The proposed method incorporates fuzzy logic and conventional controllers with utilization of vector control technique. This method combines the advantages of fuzzy logic controller and conventional controllers to improve the speed response of the induction motor. The design of fuzzy system consists of 9 fuzzy variables and 49 IF THEN rules that define the behavior of the system. The FLC observes the loop error signal and correspondingly control the PID input error signal so that the actual speed signal matches the reference speed signal with reduced rise time, settling time, and peak over shoot. Implementation and simulation results using MATLAB SIMULINK of various hybrid system controllers are compared along with conventional PI controller in terms of several performance measurements such as rise time, maximum percent overshoot, settling time, and steady state error at various load conditions. The results verified the effectiveness of the proposed hybrid speed controller under different operating conditions and demonstrated improvements in performance in speed tracking and system's stability.
| Author | : Tze Fun Chan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 401 |
| Release | : 2011-01-19 |
| Genre | : Science |
| ISBN | : 0470828285 |
Download Applied Intelligent Control of Induction Motor Drives Book in PDF, ePub and Kindle
Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor drives. This book aims to explore new areas of induction motor control based on artificial intelligence (AI) techniques in order to make the controller less sensitive to parameter changes. Selected AI techniques are applied for different induction motor control strategies. The book presents a practical computer simulation model of the induction motor that could be used for studying various induction motor drive operations. The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two-stage control, neural-network-based direct self control, and genetic algorithm based extended Kalman filter for rotor speed estimation. There are also chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM strategy, and experimental investigations. A chapter is provided as a primer for readers to get started with simulation studies on various AI techniques. Presents major artificial intelligence techniques to induction motor drives Uses a practical simulation approach to get interested readers started on drive development Authored by experienced scientists with over 20 years of experience in the field Provides numerous examples and the latest research results Simulation programs available from the book's Companion Website This book will be invaluable to graduate students and research engineers who specialize in electric motor drives, electric vehicles, and electric ship propulsion. Graduate students in intelligent control, applied electric motion, and energy, as well as engineers in industrial electronics, automation, and electrical transportation, will also find this book helpful. Simulation materials available for download at www.wiley.com/go/chanmotor
| Author | : Max Karmazin |
| Publisher | : |
| Total Pages | : 394 |
| Release | : 2003 |
| Genre | : Electric motors, Induction |
| ISBN | : |
Download Simplified Fuzzy Logic Controller Based Indirect Vector Control of an Induction Motor Drive Book in PDF, ePub and Kindle
| Author | : Siew Min See |
| Publisher | : |
| Total Pages | : |
| Release | : 2003 |
| Genre | : Electric motors, Induction |
| ISBN | : |
Download Modeling and Simulation of Three Phase Induction Motor Control System Using Fuzzy Logic Controller and Adaptive Neuro-fuzzy Logic Controller Book in PDF, ePub and Kindle
| Author | : Todd M. Espy |
| Publisher | : |
| Total Pages | : 180 |
| Release | : 1991 |
| Genre | : Electric motors, Induction |
| ISBN | : |
Download The Design of a Fuzzy Logic Controller for a Three-phase Induction Motor Book in PDF, ePub and Kindle
