Abstract
With the recent advancements in vehicles‟ industry the ride comfort and driving safety in passenger vehicles are considered key issues in designing any vehicle. Since the vehicle suspension system is responsible of a great share of the vehicle stability, and it influences the isolation of the passenger from road‟s noise, bumps, and vibrations. The Dilemma comes when choosing the behavior of the suspension system, considering that a good ride comfort requires a soft suspension, while insensitivity to applied loads requires a firm suspension. Therefore, a good decision of which behavior to favor depending on the terrain, guarantees a better riding experience.
Lately, many researches have been dedicated to semi-active suspensions, as they offer low energy consumption and low system price. In this paper, we introduce an adaptive neuro-fuzzy control system, where an Artificial Neural Network is used to construct a fuzzy control system through learning from the optimum control values. Simulations results show the effectiveness of the proposed controller.
KEYWORDS: semi-active suspensions, vehicle stability and comfort, intelligent control, fuzzy logic, ANFIS