Enhancing the lateral stability of the vehicle by using a fuzzy algorithm to control the active stabilizer bar

Article type: Research Article

Authors: Nguyen, Tuan Anh^{; *}

Affiliations: Faculty of Mechanical Engineering, Thuyloi University, Hanoi, Vietnam

Correspondence: [*] Corresponding author. Tuan Anh Nguyen. E-mail: [email protected].

Abstract: This article studies the instability of automobiles when steering at high speeds. In this article, the model of spatial dynamics is used to simulate vehicle oscillation. Besides, the model of nonlinear double-track dynamics is also combined to determine the effects of the wheel when steering. To limit the instability when steering, the hydraulic stabilizer bar is suggested. The performance of the system depends on the previously designed controller. The FLC algorithm with two inputs is used to control the operation of the system. The membership function and fuzzy rules are determined based on the designer’s experience. The simulation is performed by MATLAB software with three specific steering cases. In each case, the speed of the vehicle will be increased gradually. The results of the article show that the value of the roll angle is greatest in the third case, corresponding to the speed of v3 = 100 (km/h). If the vehicle does not have a stabilizer bar, the vehicle can roll over at any time. In contrast, when the active stabilizer bar was combined with the proposed FLC algorithm, the vehicle’s stability was significantly improved. The vehicle’s roll angle and the difference in vertical force at the wheels were also significantly reduced when using this algorithm for the stabilizer bar model. This result should be further verified through the experimental process.

Keywords: Rollover, active stabilizer bar, nonlinear dynamics model, fuzzy control

DOI: 10.3233/JIFS-222780

Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 6, pp. 9723-9741, 2023