Implementation of adaptive neuro fuzzy inference system controller on magneto rheological damper suspension

Authors

Pipit Wahyu Nugroho, University of WollongongFollow
Haiping Du, University of WollongongFollow
Weihua Li, University of WollongongFollow
Gursel Alici, University of WollongongFollow

RIS ID

81653

Publication Details

Nugroho, P. Wahyu., Du, H., Li, W. & Alici, G. (2013). Implementation of adaptive neuro fuzzy inference system controller on magneto rheological damper suspension. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 1399-1403). United States: IEEE.

Abstract

In this paper, we consider the implementation of an Adaptive Neuro Fuzzy Inference System (ANFIS) technique to control a quarter vehicle suspension systems with a semiactive magneto rheological (MR) damper. A quarter-car suspension model together with the MR damper is set up, and a semi-active controller composed of the Skyhook-Groundhook controller and the ANFIS model is designed. The design of ANFIS method use Fuzzy model with Gaussian membership function configuration and back propagation method as learning Fuzzy’s parameter. This control strategy is proposed to compensate the uncertainties problem of MR damper. Finally, in the simulation of the comparison of semi active suspension ANFIS controller, Skyhook-Groundhook controller and Passive Suspension is shown using MATLAB. The simulation results demonstrate that the ANFIS method provides better isolation than that via Passive Suspension.