Robust control of wheel slip using weighted fuzzy model

TL;DR

This paper presents a nonlinear adaptive control method for wheel slip management using a weighted fuzzy model, enhancing chassis control systems like ABS and traction control through real-time experiments.

Contribution

It introduces a novel control approach combining Lyapunov theory with a weighted fuzzy model for robust wheel slip control.

Findings

Effective in various road conditions

Demonstrates improved stability and control

Validated through real-time experiments

Abstract

The control of wheel slip dynamics is one of the most critical areas of chassis control, since it is the basis for most critical of the main chassis control subsystems like braking control (ABS), traction control (TCS), and stability control (VSC-ESC). In this paper,a nonlinear adaptive controller is analytically designed for longitudinal wheel slip by using of the new method, based on Lyapunov theory mixed with weighted Fuzzy model. The effectiveness of the method is demonstrated by the experimental results and real-time model simulations with different longitudinal speeds and different kinds of road surface conditions.