Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent...

Area of Science:

• Control Systems Engineering
• Robotics and Automation
• Automotive Engineering

Background:

• Traditional Proportional-Integral-Derivative (PID) controllers struggle with parameter uncertainty and nonlinearity in electrohydraulic servo actuators for active suspension systems.
• This leads to suboptimal performance in terms of force tracking accuracy and robustness.
• Existing optimization methods may not sufficiently address these complex control challenges.

Purpose of the Study:

• To propose an optimized fractional-order PID (FOPID) controller for electrohydraulic servo actuators in active suspension systems.
• To enhance controller performance by addressing parameter uncertainty and nonlinearity.
• To improve system robustness and ride comfort using an advanced optimization algorithm.

Main Methods:

• Developed a fractional-order PID (FOPID) controller.
• Optimized the FOPID controller using the Multi-Strategy Improved Beluga Whale Optimization (MSIBWO) algorithm.
• Validated the controller's effectiveness through simulations in MATLAB/Simulink using step and sine inputs, and a half-car model under random road excitation.

Main Results:

• The MSIBWO-FOPID controller demonstrated superior force tracking and robustness compared to traditional PID and basic Beluga Whale Optimization-FOPID (BWO-FOPID) controllers.
• For step inputs, rise time and RMSE were reduced by 66.7% and 70.3% respectively versus BWO-FOPID.
• Significant improvements in ride comfort were observed, with RMSE for vertical acceleration and pitch angle acceleration reduced by 51.7% and 13.1% respectively compared to passive suspension.

Conclusions:

• The proposed MSIBWO-FOPID controller effectively overcomes the limitations of traditional PID control in active suspension electrohydraulic servo actuators.
• The advanced optimization strategy ensures superior performance, disturbance rejection, and ride comfort.
• This method offers a promising solution for enhancing the performance and robustness of active suspension systems.