Proposing a novel fuzzy control algorithm for automotive active stabilizer bars based on views of roll stability and ride comfort

Abstract

Using stabilizer bars in cars to limit rollover is a necessity applied to many vehicles today. In this article, the author proposes using a new fuzzy method to control the hydraulic stabilizer bars. Previous studies only focused on improving the roll stability of cars, while this article focuses on ensuring both the roll stability and ride comfort of the vehicle, which is considered the new contribution of the article. Vehicle oscillations are described through a complex nonlinear dynamic model. The MATLAB^® application performs the simulation with two specific cases, including fish-hook steering and J-turn steering. According to the findings of this research, the roll angle value is significantly reduced when using active stabilizer bars directed by the novel algorithm. In addition, the risk of the rollover was also strongly reduced for both simulations (there are four-speed thresholds used in each case). For the first case, rollover does not occur when the car utilizes active stabilizer bars, even when travelling at v₄ = 100 (km/h). In the other case, the rollover occurs only for the Active situation when travelling at a very high speed. In contrast, this phenomenon occurs in the None situation at v₁ and the Passive situation at v₂. The results found from this work help to evaluate the performance of the fuzzy control algorithm for active stabilizer bars.