In this paper an H∞ controller is designed for a hydraulically actuated active suspension system of a half-modeled vehicle in a cascade feedback structure. Using the proposed structure the nonlinear behavior of actuator is reduced significantly. In the controller synthesis, a proportional controller is used in the inner loop, and a robust H∞ controller forms the outer loop. Two H∞ controllers a...

Nowadays, the active suspension is the key technology for vehicles to achieve both ride comfort and control performance. In this paper, a new 1/4T servo-hydraulic vehicle active suspension system is developed and two control schemes are utilized. The first one is a conventional PID controller obtained from Ziegler-Nichols method and the second one is the neural network controller. Though these ...

When it comes to racing applications, the primary engineering goal is increase performance envelope of vehicle for a given set tires. To achieve this goal, necessary maximize normal loads on wheels while at same time minimizing tire load variation. The purpose paper present mathematical model Formula Student car in order study if gains are achieved by replacing traditional passive suspension wi...

We study the sensitivity of a recently developed nonlinear control scheme with respect to variations in the parameters of the active suspension. Based on comparative simulation results, we conclude that the parameters of the hydraulic actuator dynamics are the ones to which closed-loop system performance is most sensitive. In fact, it is enough to estimate only one parameter in order to guarant...

Abstract This paper presents the design of a new and novel control technique applied to an active suspension system of a quarter car model using adaptive fuzzy (AF) logic and active force control (AFC) strategies. The two main advantages of the proposed method are the simplicity of the control law and low computational burden. The overall control system essentially comprises three feedback cont...

This paper presents multi-layer feedforward neural network-based identification and approximate predictive controller (NNAPC) for a two degree-of-freedom (DOF), quarter-car servohydraulic vehicle suspension system. The nonlinear dynamics of the servo-hydraulic actuator is incorporated in the suspension model. A suspension travel controller is developed to improve the ride comfort and handling q...