Guo, Lie (Dalian University of Technology), Guan, Longxin (School of Mechanical Engineering, Dalian University of Technolog), Xu, Linli (School of Mechanical Engineering, Dalian University of Technolog), Wang, Xu (School of Mechanical Engineering, Dalian University of Technolog)

Discussion on Disturbance Rejection Control of Intelligent Vehicles under Multi-Uncertainty Disturbance

Scheduled for presentation during the Invited session "Advanced Control Technology for Electrified Powertrains" (FrA3), Friday, November 1, 2024, 08:30−08:50, Room T3

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

With the rapid development of automation, 5G communication and network connectivity technologies, intelligent vehicles have become a research hotspot in academia and industry. At present, in order to im-prove the traffic safety and transportation efficiency, promoting the productization of high-level intelligent vehicles has become an important goal for the development of the automotive industry, and the application prospect is very broad. As one of the key technologies of intelligent vehicles, the core objective of path tracking is to track accurately the desired path and ensure the comfort, stability and safety of driving. However, intelligent vehicle path tracking is faced with the influence of multiple-uncertainties disturbances such as modeling inaccuracy, parameter perturbation, network delays and external environmental disturbances, which can easily lead to the degradation of tracking accuracy and driving safety. Therefore, it is necessary to design a controller with active disturbance rejection capability.