Adaptive neuro-fuzzy inference control for active stabilizer bars based on multiple data sources.

ABSTRACT: In this research, we propose using active stabilizer bars to prevent rollover when steering. An intelligent control solution, the adaptive neuro-fuzzy inference system (ANFIS), is established in this article to control the performance of the active anti-roll systems. In contrast to the previously published studies, the intelligent algorithm designed in this research has many outstanding advantages, such as generating a large impact force, a fast response time, a small phase difference, and high convergence ability. The data used to train ANFIS are carefully selected and combined from the previous studies. The initial simulation observes that the roll angle decreases significantly from 8.15° to 6.87° when the ANFIS algorithm is applied to regulate the anti-roll bars. In contrast, the roll a

SUBMITTER: Nguyen TA 

PROVIDER: S-EPMC11394359 | biostudies-literature | 2024 Jul-Sep

REPOSITORIES: biostudies-literature