Adaptive Sensor Fault Accommodation for Vehicle Active Suspensions via Partial Measurement Information

Area of Science:

• Control Engineering
• Automotive Systems
• Fault Diagnosis and Accommodation

Background:

• Vehicle active suspensions are crucial for ride comfort and handling.
• Sensor bias faults in active suspension systems can degrade performance and compromise safety.
• Existing control strategies may not adequately address uncertainties and sensor faults simultaneously.

Purpose of the Study:

• To propose an adaptive sensor fault accommodation scheme for uncertain vehicle active suspensions.
• To design an output-feedback controller that compensates for sensor bias affecting vehicle body displacement.
• To ensure system stability and signal boundedness despite parameter uncertainties and sensor faults.

Main Methods:

• Development of an adaptive observer with variable gains for state estimation and parameter adaptation.
• Design of an output-feedback controller utilizing partial measurements and state estimates.
• Implementation of a switching strategy for real-time gain adjustment to guarantee stability.
• Adaptive compensation for sensor bias within both observer and controller design.

Main Results:

• The proposed scheme effectively accommodates sensor bias faults in vehicle active suspensions.
• Vehicle body displacement converges to a small neighborhood around zero.
• All signals within the closed-loop system are proven to be bounded.
• Simulations demonstrate improved stabilization of suspension vertical motion.

Conclusions:

• The adaptive fault accommodation scheme provides robust control for uncertain active suspensions with sensor bias.
• The method enhances system stability and performance by actively compensating for measurement errors.
• This approach offers a viable solution for improving the reliability and safety of active suspension systems.