Active Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy...

Area of Science:

• Automotive Engineering
• Control Systems Theory
• Mechanical Vibrations

Background:

• Vehicle vibration due to road surface roughness is a significant disturbance.
• Existing active suspension control designs often neglect disturbance influence, degrading performance.
• Improved control strategies are needed to mitigate vibration under varying road conditions.

Purpose of the Study:

• To propose a new control method for active suspension systems to reduce vehicle vibration.
• To enhance active suspension performance by actively rejecting road disturbances.
• To improve ride comfort and system stability by minimizing the impact of external disturbances.

Main Methods:

• Developed a hybrid control strategy: Active Disturbance Rejection Control Based on Fuzzy (ADRCBF).
• Utilized an Extended State Observer (ESO) for state and disturbance estimation.
• Tuned control parameters using a dynamic fuzzy technique with special membership functions.
• Evaluated performance via numerical simulations under various excitation cases.

Main Results:

• The ADRCBF significantly reduced sprung mass acceleration and displacement compared to passive and PID-controlled active suspensions.
• The suspension travel closely tracked road disturbances with minimal error.
• The Extended State Observer (ESO) demonstrated high accuracy, with estimation errors not exceeding 3.5% for sinusoidal and random excitations.
• The proposed method ensured system adaptability across diverse operating conditions.

Conclusions:

• The ADRCBF technique effectively mitigates vehicle vibration caused by road disturbances.
• This advanced control strategy offers superior performance over conventional methods like PID control.
• The fuzzy-tuned ADRC approach provides robust and adaptive control for active suspension systems.