Research on the Traction Fuzzy Control of Articulated Vehicles Based on Matlab

In this paper, the slip rate of the articulated electric-wheel vehicles is monitored with the traction control system during running. Using fuzzy control system to control the traction force can effectively control the output torque of the motor so as to realize the effective control of the slip rat...

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Bibliographic Details
Main Authors: Leng Jing, He Fan
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201817502014
Description
Summary:In this paper, the slip rate of the articulated electric-wheel vehicles is monitored with the traction control system during running. Using fuzzy control system to control the traction force can effectively control the output torque of the motor so as to realize the effective control of the slip rate in different running roads. The full vehicle dynamic model of the articulated electric-wheel vehicles was built, and the dynamic equation of the steering process was analyzed. The motor control model and the traction fuzzy controller suitable for the system were constructed. Based on Matlab, the fuzzy controller was integrated with the full vehicle model to build the fuzzy control analysis model of full vehicle traction force. The running condition of the full vehicle on the low adhesion coefficient road and bisectional road was analyzed. The analysis results show that when vehicles run at different adhesion coefficients, the slip rate fuzzy control system can effectively reduce the skidding degree of wheels, so that the adhesive force provided by the pavement can be used to the maximum extent, so as to ensure the vehicle stability and improve the running safety, and the control has achieved good results.
ISSN:2261-236X