Fuzzy logic based exact sensor less speed control of induction motor at low range of operations
Dissertant
Thesis advisor
University
Birzeit University
Faculty
Faculty of Engineering and Technology
Department
Department of Computer Science
University Country
Palestine (West Bank)
Degree
Master
Degree Date
2004
English Abstract
In this thesis, the field orientation control, which is the most popular control algorithm of induction motor, beside the fuzzy logic controller to compensate the speed is used.
One of the most important reasons of spreading the use of the fuzzy logic is that the structure of the fuzzy logic is very similar to the human way of thinking.
Accordingly, some of the technological problems can be solved easier.
Therefore, this method is used in the proposed control algorithm.
Controlled induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability.
To replace the sensor the information on the rotor speed is extracted from measured stator voltages and currents at the motor terminals.
Vector-controlled drives require estimating the magnitude and spatial orientation of the fundamental magnetic flux waves in the stator or in the rotor.
Durenberger state observer is used for this purpose.
Very low errors between the estimated and real rotor angular velocity in steady states and transients have been observed for values very close or equal to zero.
The used motor is fed by voltage source inverter with hysteresis current controllers.
Properties of the control system with the speed observer have been investigated and results of simulations are presented, for extremely low speeds operation under different load conditions.
Main Subjects
Mechanical Engineering
Information Technology and Computer Science
Topics
No. of Pages
107
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Introduction
Chapter one : Fuzzy logic.
Chapter two : Induction motors.
Chapter three : Field orientation control.
Chapter four : Inverters and PWM.
Chapter five : Sensor less control.
Chapter six : Simulations and results.
Chapter seven : Conclusion and future works.
References.
American Psychological Association (APA)
al-Batran, Abd al-Fattah. (2004). Fuzzy logic based exact sensor less speed control of induction motor at low range of operations. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-303453
Modern Language Association (MLA)
al-Batran, Abd al-Fattah. Fuzzy logic based exact sensor less speed control of induction motor at low range of operations. (Master's theses Theses and Dissertations Master). Birzeit University. (2004).
https://search.emarefa.net/detail/BIM-303453
American Medical Association (AMA)
al-Batran, Abd al-Fattah. (2004). Fuzzy logic based exact sensor less speed control of induction motor at low range of operations. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-303453
Language
English
Data Type
Arab Theses
Record ID
BIM-303453
