Sensor Fault Detection and System Reconfiguration for DC-DC Boost Converter

Area of Science:

• Electrical Engineering
• Control Systems
• Power Electronics

Background:

• DC-DC Boost converters are crucial in power electronics but susceptible to sensor faults.
• Sensor failures can compromise converter performance and system stability.
• Effective fault detection and reconfiguration are vital for reliable operation.

Purpose of the Study:

• To develop an effective sensor fault detection and system reconfiguration strategy for DC-DC Boost converters.
• To address the challenge of online detection and management of sensor faults.
• To ensure the continued stability and performance of the converter under fault conditions.

Main Methods:

• A Luenberger observer was designed for sensor fault detection in DC-DC Boost converters.
• A mathematical model based on the switch state was established.
• Online detection of three sensor fault types was performed by analyzing residual errors against thresholds.
• A system reconfiguration approach was implemented to maintain stability.

Main Results:

• The Luenberger observer successfully generated residual errors indicative of sensor faults.
• Three types of sensor faults were accurately detected online.
• The system reconfiguration strategy effectively maintained converter stability.
• Simulation results validated the proposed approach's effectiveness.

Conclusions:

• The proposed Luenberger observer-based approach provides effective sensor fault detection for DC-DC Boost converters.
• System reconfiguration ensures stability and reliability in the presence of sensor faults.
• This method offers a promising solution for enhancing the robustness of power electronic systems.