Adaptive Impact Mitigation Based on Predictive Control with Equivalent Mass Identification

Area of Science:

• Mechanical Engineering
• Control Systems Engineering
• Automotive Engineering

Background:

• Semi-active fluid-based shock absorbers are crucial for energy absorption and dissipation.
• Controlling these systems during impact excitation is challenging due to unknown variables.
• Minimizing reaction force and deceleration is key for effective impact mitigation.

Purpose of the Study:

• To develop an advanced control strategy for semi-active shock absorbers under impact.
• To address the challenge of unknown impacting object mass and external forces.
• To minimize impact energy while reducing reaction forces and object deceleration.

Main Methods:

• The study proposes Equivalent Parameter Predictive Control (EPPC).
• EPPC utilizes online system response measurement and equivalent system parameter identification.
• It involves repetitive optimal control problem solutions with dynamic constraints.

Main Results:

• The EPPC method demonstrates robust performance under unknown excitations, including double impacts.
• It achieves efficient energy absorption and dissipation comparable to methods for known parameters.
• The control strategy effectively minimizes reaction forces and object deceleration.

Conclusions:

• Equivalent Parameter Predictive Control (EPPC) offers a robust solution for semi-active shock absorbers facing unknown impact conditions.
• The developed method provides effective energy management and force minimization.
• This approach enhances the adaptability and efficiency of shock absorber systems.