Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension

Abstract

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR damper used in the semi-active air suspension system was tested and analyzed. Based on the experimental data, the genetic algorithm was used to identify the parameters of the improved hyperbolic tangent model, which was derived for the MR damper. At the same time, an adaptive neuro fuzzy inference system (ANFIS) was used to build the reverse model of the MR damper. The model of a quarter vehicle semi-active air suspension system equipped with a MR damper was established. Aiming at the uncertainty of the air suspension system, fuzzy control was used to adjust the boundary layer of the sliding mode control, which can effectively suppress the influence of chattering on the control accuracy and ensure system stability. Taking random road excitation and impact road excitation as the input signal, the simulation analysis of passive air suspension, semi-active air suspension based on SMC and FSMC was carried out, respectively. The results show that the semi-active air suspension based on FSMC has better vibration attenuating performance and ride comfort.

Research on variable universe fuzzy PID control for semi-active suspension with CDC dampers based on dynamic adjustment functions

“…(7) In order to take the coordination, response speed, steady-state accuracy, overshoot and other performance of the control system into account 36 , when τ 1 > 1 , let τ 1 = 1 , and τ 2 = τ 3 = τ 4 = τ 1 . Substituting the real-time contracting-expanding factor parameters into Eq.…”

Design and experimental research of stepped bypass magnetorheological damper

“…In addition, a control strategy using a novel conditional function was proposed, and it was experimentally shown that the desired performance can be achieved, which has great potential in terms of control strategies (Bagherkhani and Mohebbi, 2022; Deng et al, 2022c; Nagamatsu and Shiraishi, 2022). For better control of magnetorheological dampers for air suspension, a fuzzy sliding mode control strategy is proposed, and the simulation analysis structure shows that this strategy has a great improvement in performance for semi-active air suspension (Li et al, 2021a). The main reason for the hysteresis characteristics of magnetorheological dampers is the compressibility of MR fluid.…”

Incremental proportion integration differentiation control of all-terrain vehicle magnetorheological suspension system under low-frequency disturbances

“…As the key to achieve adaptive performance of MR intelligent suspension, the design of control algorithm in MR intelligent suspension research is the core issue. A series of control algorithms are proposed by researchers, including skyhook control algorithm [6], LQR control algorithm [7,8], neural network control algorithm [9,10], fuzzy control algorithm [11,12], robust control [13], human simulated intelligent control algorithm [14] and PID control algorithm [15,16] and so on. These algorithms usually take the absolute velocity of the sprung mass and relative velocity of the damper as the feedback variables of the controller, and the absolute velocity are obtained by acceleration integral.…”