Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive

Area of Science:

• Electrical Engineering
• Control Systems
• Power Electronics

Background:

• Induction motor drives (IMD) are crucial in industrial applications.
• Sensor failures in IMDs can lead to operational instability and damage.
• Existing fault detection methods may lack reliability due to signal quality issues.

Purpose of the Study:

• To propose a novel, reliable diagnosis method for current and speed sensor failures in IMDs.
• To enhance the robustness of fault detection algorithms by prioritizing fault types.
• To ensure the stable operation of IMDs despite sensor malfunctions.

Main Methods:

• A diagnosis method based on rotor slip estimation for current sensor fault detection.
• Utilizing field-oriented control (FOC) features and measured currents/reference speed as inputs.
• Implementing a speed sensor fault detection function using reference speed, estimated speed (sliding mode), and measured rotor speeds.
• Employing a priority-based fault determination to enhance diagnostic reliability.

Main Results:

• The proposed method effectively detects both current and speed sensor failures in IMDs.
• Simulations and experimental results confirm the feasibility and effectiveness of the diagnosis technique.
• The method successfully maintains stable IMD operation even with sensor faults.

Conclusions:

• The novel rotor slip-based diagnosis method reliably detects sensor failures in induction motor drives.
• The priority-based fault detection enhances diagnostic accuracy and system reliability.
• The technique ensures the continued stable operation of IMDs, validated by simulations and experiments.