Switching event-triggered self-adjusting prescribed performance force control of electrohydraulic load simulator

Area of Science:

• Control Engineering
• Hydraulic Systems
• Fuzzy Logic Systems

Background:

• Electro-hydraulic load simulators (EHLS) require precise force control.
• Existing methods face challenges like commutation jitter and resource inefficiency.

Purpose of the Study:

• To develop a switching event-triggered, self-adjusting prescribed performance force control for EHLS.
• To address commutation jitter and optimize resource utilization.

Main Methods:

• Design of a reduced-order fuzzy speed state observer for speed estimation.
• Development of a self-adjusting performance boundary to mitigate jitter.
• Implementation of a switching event-triggered mechanism for dynamic triggering.
• Adoption of dynamic surface technique to simplify control complexity.

Main Results:

• Guaranteed boundedness of closed-loop system states.
• Confined tracking error within a small range near equilibrium.
• Demonstrated effectiveness through experimental validation.

Conclusions:

• The proposed control method offers robust and efficient force control for EHLS.
• The approach successfully mitigates performance issues and enhances system stability.