Abstract:
In the last decade, different techniques of induction motor control were widely used for low and
high-performance applications. For high-performance drive systems, the field-oriented control
(FOC) is more efficient when it integrates with advanced control techniques. The conventional
field-oriented control uses a sensor for speed feedback to the controller. Convectional FOC is
affected by the coupling effect between torque and flux component and sensitive for the unknown
parameter variation. Sensor feedback error may affect the reliability and increase cost and
controller design complexity. The proposed ALSMC control approach uses advanced speed
controllers, indirect field-oriented control (IFOC) with sliding mode control (SMC) and adaptive
Luenberger state observer to achieve high dynamic performance. The simulation throughout the
documentation was implemented by using MATLAB/Simulink software. In this thesis, the speed,
torque, and stator current responses with MRAC based PI controller and Adaptive Luenberger
Sliding Mode Control (ALSMC) controller were compared and found that the proposed ALSMC
based controller showed improved dynamic performance and better stabilization for load torque
variation. The proposed adaptive Luenberger sliding mode control is better in overshot which is
0.426% and that of PI controller is 4.348%, and it has better settling time which is 0.5seconds
and that of PI is 0.98 seconds.
