Re-adjustable prescribed performance control for uncertain active suspension systems with actuator saturation.

Area of Science:

• Automotive Engineering
• Control Systems Theory
• Mechanical Vibrations

Background:

• Active suspension systems (ASSs) are crucial for vehicle stability and ride comfort.
• Conventional prescribed performance control (PPC) methods have limitations including rigid boundaries and singularity issues.
• Effective compensation for saturation is needed in ASSs.

Purpose of the Study:

• To develop a novel control framework for ASSs that overcomes limitations of conventional PPC.
• To enhance transient performance and stability in active suspension systems.
• To provide guaranteed performance with real-time adaptability.

Main Methods:

• A re-adjustable prescribed performance (ReAPP) control framework was proposed.
• The framework integrates dynamically adjustable performance boundaries.
• It includes a singularity-free error transformation and a bounded adaptive saturation compensator.

Main Results:

• Simulations using ISO-standard road profiles were conducted.
• The ReAPP controller reduced RMS displacement by 61% and RMS acceleration by 78% compared to passive systems.
• The proposed framework demonstrated superior performance in suppressing road disturbances.

Conclusions:

• The ReAPP framework effectively addresses limitations of conventional PPC in ASSs.
• It offers robust theoretical guarantees and meets practical engineering requirements.
• This approach significantly enhances vehicle dynamics and ride quality.