Design and Performance Assessment of Adaptive Harmonic Control for a Half‐Car Active Suspension System

Abstract

The vehicle suspension system is represented by a complex group of components which connect the wheels to the frame or body. Its primary function is to reduce or absorb various vehicle vibrations generated by road disturbances, providing comfort and safety for passengers. Most modern vehicles have independent, active, or semiactive front and rear suspensions which allow the use of electronic actuation. For this reason, automotive engineers conduct research on the active suspension model to determine the most suitable control algorithm. Three active suspension models are intensely used within simulations: the quarter-car, the half-car, and the full-car models. This paper proposes an adaptive harmonic control for a half-car active suspension system. The mathematical model of the suspension system is implemented in the MATLAB/Simulink environment. The control approach is tested via simulation, and several comparisons with the classical proportional-integral controller are provided. The simulation results show that the controller behaves quite similarly on the half-car model as it did on a quarter-car model. Additionally, an improvement to the harmonic control algorithm has been accomplished.

A Review on Controlling Methods for Active Suspension Systems

“…The software configuration for real-time performance and the hardware's ability to produce a harmonic signal may be the reason behind the implementation difficulties. [13]…”

Enhancing Road Holding and Vehicle Comfort for an Active Suspension System utilizing Model Predictive Control and Deep Learning

“…A PID controller uses error feedback to adjust damping forces and maintain the desired suspension response [1]. FLC can use linguistic variables to handle uncertainties and variations in road conditions [2], ensuring smoother ride adaptability. LQR controllers optimize a quadratic cost function to balance ride comfort and stability [3].…”

An Adaptive Controller Design for Nonlinear Active Air Suspension Systems with Uncertainties

“…Simulations are given for the vehicle suspension systems. Control methods such as adaptive harmonic control [8], double time-delay feedback control [9] and nonlinear robust control [10] are adopted in active suspension research. The literature [11] applies the voice coil motor (VCM) to the active suspension in order to improve robustness of active suspension.…”