Active Disturbance Rejection Control of Differential Drive Assist Steering for Electric Vehicles

Bibliographic Details
Title: Active Disturbance Rejection Control of Differential Drive Assist Steering for Electric Vehicles
Authors: Junnian Wang, Xiandong Wang, Zheng Luo, Francis Assadian
Source: Energies, Vol 13, Iss 10, p 2647 (2020)
Publisher Information: MDPI AG, 2020.
Publication Year: 2020
Collection: LCC:Technology
Subject Terms: independent-wheel drive, steering assistance, nonlinear system, active disturbance rejection control, smooth road feeling, Technology
More Details: The differential drive assist steering (DDAS) system makes full use of the advantages of independent control of wheel torque of electric vehicle driven by front in-wheel motors to achieve steering assistance and reduce the steering effort of the driver, as the electric power steering (EPS) system does. However, as an indirect steering assist technology that applies steering system assistance via differential drive, its linear control algorithm, like existing proportion integration differentiation (PID) controllers, cannot take the nonlinear characteristics of the tires’ dynamics into account which results in poor performance in road feeling and tracking accuracy. This paper introduces an active disturbance rejection control (ADRC) method into the control issue of the DDAS. First, the third-order ADRC controller of the DDAS is designed, and the simulated annealing algorithm is used to optimize the parameters of ADRC controller offline considering that the parameters of ADRC controller are too many and the parameter tuning is complex. Finally, the 11-DOF model of the electric vehicle driven by in-wheel motors is built, and the standard working conditions are selected for simulation and experimental verification. The results show that the ADRC controller designed in this paper can not only obviously reduce the steering wheel effort of the driver like PID controller, but also have better nonlinear control performance in tracking accuracy and smooth road feeling of the driver than the traditional PID controller.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1996-1073
Relation: https://www.mdpi.com/1996-1073/13/10/2647; https://doaj.org/toc/1996-1073
DOI: 10.3390/en13102647
Access URL: https://doaj.org/article/59431bac28154d74be03169bb8b07e31
Accession Number: edsdoj.59431bac28154d74be03169bb8b07e31
Database: Directory of Open Access Journals
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More Details
ISSN:19961073
DOI:10.3390/en13102647
Published in:Energies
Language:English