Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model

Wenjie Ye; Weixiang Shen; Jinchuan Zheng; Damon Honnery; Daya Dayawansa

doi:10.1109/ICAMechS.2016.7813461

Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model

Wenjie Ye, Weixiang Shen, Jinchuan Zheng, Damon Honnery, Daya Dayawansa

Mechanical & Aerospace Engineering

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

4 Citations (Scopus)

Abstract

This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results shows that the proposed control strategy has better performance than the SMCs without applying fuzzy tuning technique.

Original language	English
Title of host publication	Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016)
Subtitle of host publication	Melbourne, Australia, November 30 - December 3, 2016
Editors	Xinkai Chen, Dongyun Wang
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	283-288
Number of pages	6
ISBN (Electronic)	9781509053469
ISBN (Print)	9781509053476
DOIs	https://doi.org/10.1109/ICAMechS.2016.7813461
Publication status	Published - 10 Jan 2017
Event	International Conference on Advanced Mechatronic Systems 2016 - Melbourne, Australia Duration: 30 Nov 2016 → 3 Dec 2016 http://web.tuat.ac.jp/~deng/icamechs2016/icamechs2016.html#:~:text=The%202016%20International%20Conference%20on,30%20%2D%20December%203%2C%202016.&text=It%20particularly%20welcomes%20those%20emerging,applications%20in%20all%20mechatronic%20systems.

Conference

Conference	International Conference on Advanced Mechatronic Systems 2016
Abbreviated title	ICAMechS 2016
Country/Territory	Australia
City	Melbourne
Period	30/11/16 → 3/12/16
Internet address	http://web.tuat.ac.jp/~deng/icamechs2016/icamechs2016.html#:~:text=The%202016%20International%20Conference%20on,30%20%2D%20December%203%2C%202016.&text=It%20particularly%20welcomes%20those%20emerging,applications%20in%20all%20mechatronic%20systems.

Keywords

bounded uncertainties
electric vehicle
fuzzy control
fuzzy parameter tuning
fuzzy systems
underground mining

Access to Document

10.1109/ICAMechS.2016.7813461

Cite this

Ye, W., Shen, W., Zheng, J., Honnery, D., & Dayawansa, D. (2017). Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model. In X. Chen, & D. Wang (Eds.), Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016): Melbourne, Australia, November 30 - December 3, 2016 (pp. 283-288). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICAMechS.2016.7813461

Ye, Wenjie ; Shen, Weixiang ; Zheng, Jinchuan et al. / Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model. Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016): Melbourne, Australia, November 30 - December 3, 2016. editor / Xinkai Chen ; Dongyun Wang. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 283-288

@inproceedings{bac3e320e2974494bde2a096b96542ab,

title = "Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model",

abstract = "This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results shows that the proposed control strategy has better performance than the SMCs without applying fuzzy tuning technique.",

keywords = "bounded uncertainties, electric vehicle, fuzzy control, fuzzy parameter tuning, fuzzy systems, underground mining",

author = "Wenjie Ye and Weixiang Shen and Jinchuan Zheng and Damon Honnery and Daya Dayawansa",

year = "2017",

month = jan,

day = "10",

doi = "10.1109/ICAMechS.2016.7813461",

language = "English",

isbn = "9781509053476 ",

pages = "283--288",

editor = "Chen, {Xinkai } and Wang, {Dongyun }",

booktitle = "Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Conference on Advanced Mechatronic Systems 2016, ICAMechS 2016 ; Conference date: 30-11-2016 Through 03-12-2016",

url = "http://web.tuat.ac.jp/~deng/icamechs2016/icamechs2016.html#:~:text=The%202016%20International%20Conference%20on,30%20%2D%20December%203%2C%202016.&text=It%20particularly%20welcomes%20those%20emerging,applications%20in%20all%20mechatronic%20systems.",

}

Ye, W, Shen, W, Zheng, J, Honnery, D & Dayawansa, D 2017, Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model. in X Chen & D Wang (eds), Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016): Melbourne, Australia, November 30 - December 3, 2016. IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 283-288, International Conference on Advanced Mechatronic Systems 2016, Melbourne, Victoria, Australia, 30/11/16. https://doi.org/10.1109/ICAMechS.2016.7813461

Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model. / Ye, Wenjie; Shen, Weixiang; Zheng, Jinchuan et al.
Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016): Melbourne, Australia, November 30 - December 3, 2016. ed. / Xinkai Chen; Dongyun Wang. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 283-288.

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

TY - GEN

T1 - Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model

AU - Ye, Wenjie

AU - Shen, Weixiang

AU - Zheng, Jinchuan

AU - Honnery, Damon

AU - Dayawansa, Daya

PY - 2017/1/10

Y1 - 2017/1/10

N2 - This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results shows that the proposed control strategy has better performance than the SMCs without applying fuzzy tuning technique.

AB - This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results shows that the proposed control strategy has better performance than the SMCs without applying fuzzy tuning technique.

KW - bounded uncertainties

KW - electric vehicle

KW - fuzzy control

KW - fuzzy parameter tuning

KW - fuzzy systems

KW - underground mining

UR - http://www.scopus.com/inward/record.url?scp=85011866945&partnerID=8YFLogxK

U2 - 10.1109/ICAMechS.2016.7813461

DO - 10.1109/ICAMechS.2016.7813461

M3 - Conference Paper

SN - 9781509053476

SP - 283

EP - 288

BT - Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016)

A2 - Chen, Xinkai

A2 - Wang, Dongyun

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, NJ

T2 - International Conference on Advanced Mechatronic Systems 2016

Y2 - 30 November 2016 through 3 December 2016

ER -

Ye W, Shen W, Zheng J, Honnery D, Dayawansa D. Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model. In Chen X, Wang D, editors, Proceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016): Melbourne, Australia, November 30 - December 3, 2016. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 283-288 doi: 10.1109/ICAMechS.2016.7813461

Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this