Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method

Hao Zhou; Hong Chen; Bingtao Ren; Haiyan Zhao

doi:10.1109/CCDC.2015.7162225

Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method

Hao Zhou
, Hong Chen
, Bingtao Ren
, Haiyan Zhao

Jilin University
National Automobile Dynamic Simulation Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

In order to improve in-wheel-motored electric vehicle(EV) yaw stability, the yaw stability control system based on fuzzy PID controller is carried out in this paper. Firstly, we set up the original models for controller: a 2DOF EV dynamics model and wheels with in-wheel motors model. Secondly, a control system which includes three parts: reference model, upper yaw stability fuzzy PID controller and lower moment distribution controller is designed. Besides, under the help of lookup table, the problem that fuzzy toolbox can't be downloaded into dSPACE is solved. Finally, we run the off-line and real-time simulation on a 8 degrees of freedom(DOF) in-wheel-motored EV model with unitire tire model to verify the effectiveness of the fuzzy PID algorithm.

Original language	English
Title of host publication	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1876-1881
Number of pages	6
ISBN (Electronic)	9781479970179
DOIs	https://doi.org/10.1109/CCDC.2015.7162225
State	Published - 17 Jul 2015
Externally published	Yes
Event	27th Chinese Control and Decision Conference, CCDC 2015 - Qingdao, China Duration: 23 May 2015 → 25 May 2015

Publication series

Name	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

Conference

Conference	27th Chinese Control and Decision Conference, CCDC 2015
Country/Territory	China
City	Qingdao
Period	23/05/15 → 25/05/15

Keywords

EV
Fuzzy PID Algorithm
Off-line and Real-time Simulation
Yaw Stability

Access to Document

10.1109/CCDC.2015.7162225

Cite this

Zhou, H., Chen, H., Ren, B., & Zhao, H. (2015). Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method. In Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015 (pp. 1876-1881). Article 7162225 (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2015.7162225

Zhou, Hao ; Chen, Hong ; Ren, Bingtao et al. / Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method. Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1876-1881 (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015).

@inproceedings{648d364a04194c3d84e8b9bb56de40f6,

title = "Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method",

abstract = "In order to improve in-wheel-motored electric vehicle(EV) yaw stability, the yaw stability control system based on fuzzy PID controller is carried out in this paper. Firstly, we set up the original models for controller: a 2DOF EV dynamics model and wheels with in-wheel motors model. Secondly, a control system which includes three parts: reference model, upper yaw stability fuzzy PID controller and lower moment distribution controller is designed. Besides, under the help of lookup table, the problem that fuzzy toolbox can't be downloaded into dSPACE is solved. Finally, we run the off-line and real-time simulation on a 8 degrees of freedom(DOF) in-wheel-motored EV model with unitire tire model to verify the effectiveness of the fuzzy PID algorithm.",

keywords = "EV, Fuzzy PID Algorithm, Off-line and Real-time Simulation, Yaw Stability",

author = "Hao Zhou and Hong Chen and Bingtao Ren and Haiyan Zhao",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 27th Chinese Control and Decision Conference, CCDC 2015 ; Conference date: 23-05-2015 Through 25-05-2015",

year = "2015",

month = jul,

day = "17",

doi = "10.1109/CCDC.2015.7162225",

language = "英语",

series = "Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1876--1881",

booktitle = "Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015",

address = "美国",

}

Zhou, H, Chen, H, Ren, B & Zhao, H 2015, Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method. in Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015., 7162225, Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1876-1881, 27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, 23/05/15. https://doi.org/10.1109/CCDC.2015.7162225

Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method. / Zhou, Hao; Chen, Hong; Ren, Bingtao et al.
Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1876-1881 7162225 (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method

AU - Zhou, Hao

AU - Chen, Hong

AU - Ren, Bingtao

AU - Zhao, Haiyan

PY - 2015/7/17

Y1 - 2015/7/17

N2 - In order to improve in-wheel-motored electric vehicle(EV) yaw stability, the yaw stability control system based on fuzzy PID controller is carried out in this paper. Firstly, we set up the original models for controller: a 2DOF EV dynamics model and wheels with in-wheel motors model. Secondly, a control system which includes three parts: reference model, upper yaw stability fuzzy PID controller and lower moment distribution controller is designed. Besides, under the help of lookup table, the problem that fuzzy toolbox can't be downloaded into dSPACE is solved. Finally, we run the off-line and real-time simulation on a 8 degrees of freedom(DOF) in-wheel-motored EV model with unitire tire model to verify the effectiveness of the fuzzy PID algorithm.

AB - In order to improve in-wheel-motored electric vehicle(EV) yaw stability, the yaw stability control system based on fuzzy PID controller is carried out in this paper. Firstly, we set up the original models for controller: a 2DOF EV dynamics model and wheels with in-wheel motors model. Secondly, a control system which includes three parts: reference model, upper yaw stability fuzzy PID controller and lower moment distribution controller is designed. Besides, under the help of lookup table, the problem that fuzzy toolbox can't be downloaded into dSPACE is solved. Finally, we run the off-line and real-time simulation on a 8 degrees of freedom(DOF) in-wheel-motored EV model with unitire tire model to verify the effectiveness of the fuzzy PID algorithm.

KW - EV

KW - Fuzzy PID Algorithm

KW - Off-line and Real-time Simulation

KW - Yaw Stability

UR - https://www.scopus.com/pages/publications/84945581710

U2 - 10.1109/CCDC.2015.7162225

DO - 10.1109/CCDC.2015.7162225

M3 - 会议稿件

AN - SCOPUS:84945581710

T3 - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

SP - 1876

EP - 1881

BT - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Chinese Control and Decision Conference, CCDC 2015

Y2 - 23 May 2015 through 25 May 2015

ER -

Zhou H, Chen H, Ren B, Zhao H. Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method. In Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1876-1881. 7162225. (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015). doi: 10.1109/CCDC.2015.7162225

Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method

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