Research on Adjustable K and C Values of Analogous Active Suspension System with Automotive Chip Electronic Control Technology

Research and Simulation on New Active Suspension Control System

Control of an automotive electromagnetic suspension system

The main research goal of this thesis is to determine what performance gains can be achieved with a high bandwidth electromagnetic active suspension. As a baseline vehicle a BMW 530i is used, for which a retrofit electromagnetic suspension consisting of a spring and tubular permanent magnet actuator (TPMA) is designed. To design a control system for this actuator, a model of the BMW has been cr...

Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller

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...

Active suspension system - Energy control

Suspension system is an important part of the car design, because it influences both the comfort and safety of the passengers. In this paper an active suspension using linear electric motor is designed. This article is also focused on experiments with active suspension – developing an appropriate input signal for the test bed and evaluation of the results. Second important aspect of the active ...

Practical Implementation of Skyhook and Adaptive Active Force Control to an Automotive Suspension System

The paper focuses on the practical implementation of a new robust control method to an automotive active suspension system using skyhook and adaptive active force control (SANAFC) strategy. The overall control system essentially comprises four feedback control loops to cater for a number of specific taks. Neural networks (NN) with modified adaptive Levenberg-Marquardt (LM) learning algorithms w...