TITLE:
Enhanced Fuzzy Logic Control Model and Sliding Mode Based on Field Oriented Control of Induction Motor
AUTHORS:
Alaa Tahhan, Feyzullah Temurtaş
KEYWORDS:
Induction Motor, Vector Control, Fuzzy Logic Control, Sliding Mode
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.12 No.1,
January
18,
2024
ABSTRACT: In the context of induction motor control, there are various control
strategies used to separately control torque and flux. One common approach is
known as Field-Oriented Control (FOC). This
technique involves transforming the three-phase currents and voltages into a
rotating reference frame, commonly referred to as the “dq” frame.
In this frame, the torque/speed and flux components are decoupled, allowing for
independent control, by doing so, the motor’s speed can be regulated accurately and maintain a constant flux which is crucial to ensure optimal motor
performance and efficiency. The research focused on studying and simulating a
field-oriented control system using fuzzy control techniques for an induction
motor. The aim was to address the issue of parameter variations, particularly
the change in rotor resistance during motor operation, which causes the control
system to deviate from the desired direction. This deviation implies to an
increase in the magnetic flux value, specifically the flux component on the
q-axis. By employing fuzzy logic techniques to regulate flux vector’s
components in the dq frame, this problem was successfully resolved, ensuring
that the magnetic flux value remains within the nominal limits. To enhance the
control system’s performance, response speed, and efficiency of the motor,
sliding mode controllers were implemented to regulate the current in the inner
loop. The simulation results demonstrated the proficiency of the proposed
methodology.