Two simple and novel SISO controllers for induction motors based on adaptive passivity

Area of Science:

• Electrical Engineering
• Control Systems Engineering
• Robotics

Background:

• Induction motors require precise control for optimal performance.
• Traditional control methods often rely on accurate motor parameter knowledge, limiting robustness.
• Adaptive control strategies offer potential for improved performance and adaptability.

Purpose of the Study:

• To design and present two novel single-input single-output (SISO) controllers for induction motors using adaptive passivity.
• To simplify the control design process for induction motors.
• To ensure robustness against variations in motor-load parameters.

Main Methods:

• Implementation of two adaptive passivity-based controllers working with a field orientation block.
• Utilization of simple proportional controllers for torque, rotor flux, and stator current loops.
• Introduction and application of the "Torque-Flux Control Principle" for design simplification.

Main Results:

• The adaptive nature of the controllers eliminates the need for prior motor-load parameter knowledge.
• Robustness under parameter variations is guaranteed.
• Control simplification is achieved, reducing control efforts and avoiding rotor flux estimation.

Conclusions:

• The proposed adaptive passivity controllers offer a simplified and robust solution for induction motor control.
• The "Torque-Flux Control Principle" significantly enhances controller design efficiency.
• The controllers ensure reliable performance without requiring detailed motor parameter information or flux estimation.