Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame

O. C. Kivanc; S. B. Ozturk; R. N. Tuncay; E. Kesici; C. Yazi

doi:10.1109/IECON.2016.7793788

Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame

O. C. Kivanc, S. B. Ozturk, R. N. Tuncay, E. Kesici, C. Yazi

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

2 Citations (Scopus)

Abstract

A simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking, some parameters of an electric motor in EHPS are affected. These changes threaten the vehicle's driving reliability and performance of EHPS. In this study, an EHPS system with rotor flux estimation based adaptive driver torque control principle has been presented. The motor winding temperature is obtained for monitoring purpose with the help of MRAS stator resistance estimation. The proposed parameter estimation method for EHPS has been simulated by using AMESim and MATLAB/Simulink cosimulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	1808-1814
Number of pages	7
ISBN (Electronic)	9781509034741
DOIs	https://doi.org/10.1109/IECON.2016.7793788
Publication status	Published - 21 Dec 2016
Externally published	Yes
Event	42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy Duration: 24 Oct 2016 → 27 Oct 2016

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Conference

Conference	42nd Conference of the Industrial Electronics Society, IECON 2016
Country/Territory	Italy
City	Florence
Period	24/10/16 → 27/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Condition monitoring
Electro-hydraulic power steering sytem (EHPS)
Fault diagnosis
Fault tolerant
Model reference adaptive system (MRAS)
Parameter estimation
PMSM
Rotor flux estimation
Stator resistance estimation
Temperature estimation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IECON.2016.7793788

Cite this

Kivanc, O. C., Ozturk, S. B., Tuncay, R. N., Kesici, E., & Yazi, C. (2016). Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 1808-1814). Article 7793788 (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793788

Kivanc, O. C. ; Ozturk, S. B. ; Tuncay, R. N. et al. / Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame. Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. pp. 1808-1814 (IECON Proceedings (Industrial Electronics Conference)).

@inproceedings{1e10cef3464248549aa95f3027bebc72,

title = "Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame",

abstract = "A simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking, some parameters of an electric motor in EHPS are affected. These changes threaten the vehicle's driving reliability and performance of EHPS. In this study, an EHPS system with rotor flux estimation based adaptive driver torque control principle has been presented. The motor winding temperature is obtained for monitoring purpose with the help of MRAS stator resistance estimation. The proposed parameter estimation method for EHPS has been simulated by using AMESim and MATLAB/Simulink cosimulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method.",

keywords = "Condition monitoring, Electro-hydraulic power steering sytem (EHPS), Fault diagnosis, Fault tolerant, Model reference adaptive system (MRAS), Parameter estimation, PMSM, Rotor flux estimation, Stator resistance estimation, Temperature estimation",

author = "Kivanc, {O. C.} and Ozturk, {S. B.} and Tuncay, {R. N.} and E. Kesici and C. Yazi",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",

year = "2016",

month = dec,

day = "21",

doi = "10.1109/IECON.2016.7793788",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

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booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",

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Kivanc, OC, Ozturk, SB, Tuncay, RN, Kesici, E & Yazi, C 2016, Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7793788, IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, pp. 1808-1814, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/16. https://doi.org/10.1109/IECON.2016.7793788

Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame. / Kivanc, O. C.; Ozturk, S. B.; Tuncay, R. N. et al.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 1808-1814 7793788 (IECON Proceedings (Industrial Electronics Conference)).

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

TY - GEN

T1 - Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame

AU - Kivanc, O. C.

AU - Ozturk, S. B.

AU - Tuncay, R. N.

AU - Kesici, E.

AU - Yazi, C.

PY - 2016/12/21

Y1 - 2016/12/21

N2 - A simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking, some parameters of an electric motor in EHPS are affected. These changes threaten the vehicle's driving reliability and performance of EHPS. In this study, an EHPS system with rotor flux estimation based adaptive driver torque control principle has been presented. The motor winding temperature is obtained for monitoring purpose with the help of MRAS stator resistance estimation. The proposed parameter estimation method for EHPS has been simulated by using AMESim and MATLAB/Simulink cosimulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method.

AB - A simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking, some parameters of an electric motor in EHPS are affected. These changes threaten the vehicle's driving reliability and performance of EHPS. In this study, an EHPS system with rotor flux estimation based adaptive driver torque control principle has been presented. The motor winding temperature is obtained for monitoring purpose with the help of MRAS stator resistance estimation. The proposed parameter estimation method for EHPS has been simulated by using AMESim and MATLAB/Simulink cosimulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method.

KW - Condition monitoring

KW - Electro-hydraulic power steering sytem (EHPS)

KW - Fault diagnosis

KW - Fault tolerant

KW - Model reference adaptive system (MRAS)

KW - Parameter estimation

KW - PMSM

KW - Rotor flux estimation

KW - Stator resistance estimation

KW - Temperature estimation

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M3 - Conference contribution

AN - SCOPUS:85010064594

T3 - IECON Proceedings (Industrial Electronics Conference)

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EP - 1814

BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society

PB - IEEE Computer Society

T2 - 42nd Conference of the Industrial Electronics Society, IECON 2016

Y2 - 24 October 2016 through 27 October 2016

ER -

Kivanc OC, Ozturk SB, Tuncay RN, Kesici E, Yazi C. Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society. 2016. p. 1808-1814. 7793788. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON.2016.7793788

Electro-hydraulic power steering system modelling for parameter fault detection based on model reference adaptive frame

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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