Nonlinear SVM-DTC for induction motor drive using input-output feedback linearization and high order sliding mode...

Area of Science:

• Electrical Engineering
• Control Systems
• Power Electronics

Background:

• Induction motors require precise control for optimal performance.
• Traditional control methods often struggle with torque ripple and parameter variations.
• Direct Torque Control (DTC) offers fast torque response but can exhibit ripples.

Purpose of the Study:

• To develop an advanced nonlinear Direct Torque Control (DTC) strategy for induction motors.
• To achieve decoupled flux and torque control with reduced ripples.
• To enhance speed regulation and system robustness against disturbances and parameter variations.

Main Methods:

• Implementation of nonlinear input-output feedback linearization (IOFL) for decoupled control.
• Integration of Space Vector Modulation (SVM) to minimize torque and flux ripples.
• Incorporation of a super twisting speed controller and a load torque observer for improved performance.
• Stability analysis using Lyapunov stability theory.

Main Results:

• The proposed nonlinear DTC strategy effectively decouples torque and flux control.
• Significant reduction in torque and flux ripples was achieved using SVM.
• Enhanced speed regulation and robustness against parameter variations and load disturbances were demonstrated.
• Simulation and experimental results validated the control algorithm's effectiveness.

Conclusions:

• The combined nonlinear IOFL and SVM strategy provides superior performance for induction motor control.
• The integration of the super twisting controller and load torque observer enhances dynamic response and robustness.
• The developed control scheme offers a reliable and effective solution for industrial applications.