Research on Electric Oil-Pneumatic Active Suspension Based on Fractional-Order PID Position Control

Area of Science:

• Automotive Engineering
• Control Systems
• Mechatronics

Background:

• Active suspension systems aim to improve vehicle dynamics and ride comfort by adjusting damping in real-time.
• Traditional suspension control methods often struggle with nonlinearities and complex dynamics.
• Fractional-order control offers potential for enhanced performance in dynamic systems.

Purpose of the Study:

• To propose and validate an active suspension system utilizing fractional-order PID (FOPID) position feedback control for electric oil and gas actuators.
• To optimize the damping coefficient of the suspension system for active control based on road conditions.
• To compare the performance of the proposed FOPID control with traditional linear and PID control methods.

Main Methods:

• Development of an electric oil and gas actuator with FOPID position feedback control.
• Utilizing road roughness data from sensors for damping adjustment criteria.
• Employing particle swarm optimization to determine optimal control parameters under varying road slopes.
• Building and testing simulation and experimental platforms for the fractional-order nonlinear suspension model.

Main Results:

• The fractional-order nonlinear suspension model demonstrated higher accuracy compared to traditional linear models.
• Performance indices showed an accuracy improvement exceeding 18.5% compared to linear models.
• The active suspension system significantly optimized body acceleration (89.8%), suspension dynamic deflection (56.7%), and tire dynamic load (73.4%) relative to passive suspension.
• FOPID control exhibited superior performance over traditional PID control circuits.

Conclusions:

• The proposed FOPID-based active suspension system effectively controls and optimizes vehicle suspension dynamics.
• Fractional-order control provides a significant advantage over traditional methods for nonlinear suspension systems.
• The study offers a robust theoretical and empirical foundation for advancing active suspension technology.