Design and implementation of Adaptive Neuro Fuzzy Inference System for an experimental Active Suspension System

Abstract

This paper describes the design and implementation of the Adaptive Neuro Fuzzy Inference System (ANFIS) and the conventional Proportional, Integral and Derivative (PID) controller for an experimental Active Suspension System (ASS) in order to improve the travelling comfort of the passengers. Effective control of ride quality and handling performance are challenges for active vehicle suspension systems, particularly for road with irregularities. Generally a bumpy road creates discomfort to the human beings in the vehicle and damages to the vehicle's electronic and mechanical components. Hence a well-tuned suspension system is more important to enhance the comfort of the passengers. The PID and ANFIS controllers have been designed and implemented to the real time setup through the LabVIEW software. Comparison between the time responses with both the controllers has been carried out and it shows that, the system with ANFIS gives significant reduction of the sprung mass displacement and body acceleration and thus improves the vehicle ride comfort.