Residential College | false |
Status | 已發表Published |
Nonlinear model predictive trajectory following control with feedback compensation for autonomous four-wheel independent drive electric vehicles | |
Ye, Xingyu1; Zhu, Shaopeng1; Ao, Di2; Huang, Wei3,4 | |
2022-10-14 | |
Source Publication | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING |
ISSN | 0954-4070 |
Volume | 238Issue:2-3Pages:478-490 |
Abstract | Trajectory following is an important function of autonomous vehicles. To enable a four-wheel independent drive electric vehicle to precisely follow a predefined or real-time generated trajectory with good lateral stability and ride comfort at high velocity, a model predictive control (MPC) scheme with feedback compensation considering model mismatch is proposed in this paper to coordinate the direct yaw-moment control and active front steering. The system input signal computed by model predictive control is corrected by the feedback compensation to cope with the model mismatch existing between the controlled vehicle and the nominal model. Moreover, co-simulation is carried out between the software MATLAB/Simulink and Carsim to verify the proposed method. In comparison, the integration of the direct yaw-moment control and active front steering through model predictive control can overcome the non-smooth problem of vehicle dynamics while implementing the active front steering only. However, the value of the external yaw moment computed by the model predictive controller might be too large due to the predictive error in extreme situations, which could endanger the vehicle. The results reveal that the proposed model predictive control scheme with feedback compensation can effectively compensate the front steering angle and enhance the control effect. Therefore, it can significantly improve the trajectory following accuracy and yaw stability. |
Keyword | Autonomous Vehicle Direct Yaw-moment Control Feedback Compensation Model Predictive Control Trajectory Following |
DOI | 10.1177/09544070221128856 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Engineering ; Transportation |
WOS Subject | Engineering, Mechanical ; Transportation Science & Technology |
WOS ID | WOS:001169657300001 |
Publisher | SAGE PUBLICATIONS LTD1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND |
Scopus ID | 2-s2.0-85140018663 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTROMECHANICAL ENGINEERING University of Macau Faculty of Science and Technology |
Corresponding Author | Zhu, Shaopeng; Huang, Wei |
Affiliation | 1.Power Machinery and Vehicular Engineering Institute, College of Energy Engineering, Zhejiang University, Hangzhou, Zhejiang Province, China 2.Department of Electromechanical Engineering, University of Macau, Macao 3.School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China 4.Xiamen Golden Dragon Bus Company Ltd, Xiamen, China |
Recommended Citation GB/T 7714 | Ye, Xingyu,Zhu, Shaopeng,Ao, Di,et al. Nonlinear model predictive trajectory following control with feedback compensation for autonomous four-wheel independent drive electric vehicles[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2022, 238(2-3), 478-490. |
APA | Ye, Xingyu., Zhu, Shaopeng., Ao, Di., & Huang, Wei (2022). Nonlinear model predictive trajectory following control with feedback compensation for autonomous four-wheel independent drive electric vehicles. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 238(2-3), 478-490. |
MLA | Ye, Xingyu,et al."Nonlinear model predictive trajectory following control with feedback compensation for autonomous four-wheel independent drive electric vehicles".PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING 238.2-3(2022):478-490. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment