Coordinated prescribed performance control of uncertain active suspension using a variable parameter ideal reference...

Area of Science:

• Automotive Engineering
• Control Systems Theory
• Mechanical Vibrations

Background:

• Vehicle ride comfort is often compromised by the trade-off between vibration suppression and suspension deflection limits.
• Existing control methods struggle with suspension deflection convergence on uneven terrain.
• Ensuring passenger and vehicle safety requires managing suspension limits during dynamic maneuvers.

Purpose of the Study:

• To propose a novel coordinated prescribed performance control scheme for improved vehicle ride comfort.
• To balance vibration suppression with suspension deflection limitations.
• To enhance the road adaptability and safety of vehicles.

Main Methods:

• Construction of a variable-parameter ideal reference model (VP-IRM) using skyhook-groundhook damping and Takagi-Sugeno fuzzy approximation.
• Design of a novel coordination function to manage suspension deflection and vibration suppression.
• Integration of an extended state observer (ESO) for an improved prescribed performance controller (IPPC).

Main Results:

• The VP-IRM adaptively adjusts the sprung mass trajectory based on real-time suspension deflection.
• The coordination function prevents suspension limit block impacts and enhances safety.
• The IPPC ensures precise control of sprung mass motion, minimizing transient and steady-state errors.
• Simulations demonstrate superior ride comfort, reduced control energy, and enhanced road adaptability.

Conclusions:

• The proposed control scheme effectively improves ride comfort and balances conflicting performance objectives.
• The method addresses limitations in existing research regarding suspension deflection convergence.
• The enhanced control strategy significantly boosts vehicle road adaptability and overall performance.