Dependable Sensor Fault Reconstruction in Air-Path System of Heavy-Duty Diesel Engines

Area of Science:

• Automotive Engineering
• Control Systems
• Mechanical Engineering

Background:

• Sensor faults in heavy-duty diesel engine air-path systems can lead to severe engine damage.
• Existing literature inadequately addresses robust fault detection and isolation for these systems.
• Sensor calibration issues or total failure are common causes of sensor faults.

Purpose of the Study:

• To develop a robust method for detecting and isolating sensor faults in heavy-duty diesel engine air-path systems.
• To reconstruct sensor faults effectively despite unknown external disturbances and uncertainties.
• To prevent system failure by identifying and addressing corrupted sensor measurements.

Main Methods:

• A second-order sliding mode observer is proposed for sensor fault reconstruction.
• The equivalent output error injection method is employed.
• Linear Matrix Inequality (LMI) tools are utilized to minimize disturbance effects.

Main Results:

• The proposed method demonstrates effective reconstruction of sensor faults.
• Simulation results verify the performance and robustness of the observer.
• The approach successfully mitigates the impact of uncertainties and external disturbances.

Conclusions:

• The developed observer provides a robust solution for sensor fault detection and isolation in diesel engines.
• Reconstructing sensor faults proactively prevents potential engine damage.
• The method enhances the reliability and safety of heavy-duty diesel engine air-path systems.