Development of a Fuzzy Algorithm With Multiple Inputs for the Active Stabilizer Bar to Improve Vehicle Stability When Steering

Abstract

In this article, the author discusses the issue of vehicle roll instability when steering at high speeds. Installing an active stabilizer bar in a car is recommended to prevent it from rolling over and make it more stable when it does. A complex dynamic model is set up to evaluate and analyze vehicle oscillations. Besides, a fuzzy algorithm with three independent inputs is used to control the operation of the active stabilizer bar. This algorithm uses three separate inputs derived from the vehicle’s oscillating signals. In addition, the membership function and fuzzy rule are designed to ensure that the quality and efficiency of the system are well-maintained and stable. This is an entirely new method, which is rarely used for complex models of cars. Numerical simulation is carried out in a Simulink environment with many specific cases and situations. According to research findings, the roll angle of the vehicle body increases as the speed increases. This causes a greater change in wheel dynamics force and increases the risk of rollover. If the car is equipped with an active stabilizer bar controlled by the fuzzy algorithm with three inputs, these problems are significantly reduced compared to all other situations. So, when this new algorithm is added to the active stabilizer bar, the car’s stability and safety can improve even.

Keywords

• Active stabilizer bar
• rollover phenomenon
• fuzzy control
• vehicle dynamic