vektor-esasi-asenkron-motor-kontrolu - 320Volt

ABSTRACT
CEYHUN YILDIZ
T.C.
UNIVERSITY OF KAHRAMANMARAŞ SÜTÇÜ İMAM
INSTITUTE OF NATURAL AND APPLIED SCIENCES
DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING
MSc THESIS
ABSTRACT
VECTOR CONTROL OF AC INDUCTION MACHINE
USING GENETIC ALGOTITHM BASED FUZZY
CONTROLLER
CEYHUN YILDIZ
SUPERVISOR: Prof. H. Rıza ÖZÇALIK
Year: 2008, Pages: 92
Jury
: Prof. H. Rıza ÖZÇALIK
: Prof. M. Kemal KIYMIK
: Assistant. Prof. Mustafa DANACI
Three phase induction motors are, obviously, electrical machines having the most usage
among all machines of industry. Because, these machines have got very simple, compact and reliable
structure. Therefore, many control methods have been developed to obtain accurate speed trajectory
and adequate torque values for AC induction motors. In recent years, adaptive and intelligent control
schemes have begun to take the place of conventional control methods.
In this thesis, in order to control an induction motor, a Model Reference Adaptive Control
(MRAC) scheme based on Genetic Algorithm (GA) and Fuzzy Logic (FL) has been used by the help of
Vector Control type driving method based on Space Vector Pulse Width Modulation (SVPWM). First,
a good mathematical model is obtained for induction motor and secondly this model is used for the
simulation of control strategy which is mentioned before. After the observation of the success of the
control method in simulation, the control strategy has been applied to induction motor in real
conditions by using an appropriate digital signal processor and peripheral units. In this study, as
digital processor, DSPIC 30F6010 which is produced by Microchip Co. has been used.
As a conclusion, the running of induction motor in real conditions has demonstrated that the
reference speed values have been obtained with smooth convergence regime and rather small error
values being left under the 2 per cent of set values in a good response time.
Key Words: Genetic Algorithm, Fuzzy Control, Vector Control, AC Induction Machine
IV