The purpose of designing the active suspension systems is providing comfort riding and good handling in different road disturbances. In this paper a novel control method based on adaptive neuro fuzzy system in active suspension system is proposed. Choosing the proper data base to train the ANFIS has an important role in increasing the suspension system’s performance. The data base which is used...

The main problem of vehicle vibration comes from road roughness. An active suspension systempossesses the ability to reduce acceleration of sprung mass continuously as well as to minimizesuspension deflection, which results in improvement of tire grip with the road surface. Thus, braketraction control and vehicle maneuverability can be improved consider ably .This study developeda new active su...

The formula cars need high tire grip on racing challenge by reducing rolling displacement at corner or double change lands. In this case study, the paper clarifies some issues related to suspension system with inerter to reduce displacement and rolling angle under impact from road disturbance on Formula SAE Car. We propose some new designs, which have an advance for suspension system by improvi...

A novel model based scheme for the state estimation during anti-lock braking is presented based on a LuGre tyre model and a quarter car model. The wheel angular speed and longitudinal vehicle acceleration information are used to design a nonlinear observer based on the unscented Kalman filter theory. This nonlinear observer provides the necessary information for the anti-lock control despite th...

Mechanical Engineering This study experimentally evaluates the dynamic response of a single vehicle suspension incorporating a magneto-rheological (MR) damper. A full-scale two-degree-of-freedom (2DOF) quarter-car test apparatus has been constructed at the Advanced Vehicle Dynamics Lab at Virginia Tech to evaluate the response of a vehicle suspension under the different control schemes of skyho...

The aim of this paper is the development a 7-DOF (Degrees Of Freedom) mathematical model an IndyCar and implementation Artificial Neural Network in order to predict optimal setup parameters car, reducing time costs for race teams. created by using MATLABTM Simulink software starting from telemetry acquisition at Houston circuit based on Vertical Vehicle Dynamic equations. have been predicted th...

The most common automotive suspension systems have been used passive components with fixed damping coefficient and spring constant. They are two separate functions to reach a compromise between drive quality handling performance. Because of the limit structures, system could hardly enhance features at same time. In recent years, active has widely in vehicle which can overcome limitations system...

Present work aims at developing an active suspension for a passenger car by designing a controller using linear quadratic optimal control theory, based on two different control approaches [conventional method (CM), acceleration dependent method (ADM)]. Performance of the active suspension system of a quarter car model with 3 degrees-of-freedom with two control approaches has been compared with ...