Preview control of semi-active suspension based on a half-car model using Fast Fourier Transform

Author

Ahmed, Mariwan ; Svaricek, Ferdinand

Author_Institution

Dept. of Aerosp. Eng., Univ. of the Fed. Armed Forces Munich, Munich, Germany

fYear

2013

fDate

18-21 March 2013

Firstpage

1

Lastpage

6

Abstract

In this paper, a preview controller is proposed such that, the road profile in front of the vehicle is scanned using lidar sensors. The measured sensor signal is analyzed using Fast Fourier Transform FFT. According to the amplitude and frequency of the signal components, a control signal is generated based on Model Predictive Control (MPC), which is calculated offline using a half-car model. The system performance is compared with the passive suspension, the Skyhook approach, an adaptive robust controller, and an optimal preview controller. The simulation and experimental results have shown a significant better performance regarding ride comfort.

Keywords

adaptive control; automobiles; fast Fourier transforms; optical radar; optimal control; predictive control; robust control; signal processing; suspensions (mechanical components); vibration control; FFT; MPC; Skyhook approach; adaptive robust controller; control signal; fast Fourier transform; half-car model; lidar sensors; model predictive control; optimal preview controller; road profile; semiactive suspension preview control; sensor signal analysis; signal component amplitude; signal component frequency; Adaptation models; Fast Fourier transforms; Optimal control; Roads; Sensors; Suspensions; Vehicles; Predictive control; control of vehicle suspension; vibration control;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-6459-1

Electronic_ISBN

978-1-4673-6458-4

Type

conf

DOI

10.1109/SSD.2013.6564120

Filename

6564120