Modelling of a Versatile Vehicle Braking System with a Fuzzy PID Torque Controller

Valery Vodovozov; Zoja Raud; Andrei Aksjonov; Eduard Petlenkov

doi:10.1109/BEC49624.2020.9276798

Modelling of a Versatile Vehicle Braking System with a Fuzzy PID Torque Controller

Valery Vodovozov
, Zoja Raud
, Andrei Aksjonov
, Eduard Petlenkov

Tallinn University of Technology

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

197 Lataukset (Pure)

Abstrakti

The paper concentrates on intelligent control of electric vehicles operated in different braking regimes, from gradual downhill motion to intensive antilock braking. A model of a versatile fuzzy PID torque controller is designed and assessed in MATLAB/Simulink™. The system successfully follows the driver's demands in such changing environmental obstacles as tire-road friction, road inclination, wind velocity, etc. The best energy recovery is ensured in all braking modes. Simulation results, compared to experimental curves obtained from the hardware-in-The-loop test rig, demonstrate consistently high braking quality and potentiality of the proposed technique.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the 17th Biennial Baltic Electronics Conference, BEC 2020
Kustantaja	IEEE
Sivumäärä	6
ISBN (elektroninen)	9781728194448
DOI - pysyväislinkit	https://doi.org/10.1109/BEC49624.2020.9276798
Tila	Julkaistu - 8 jouluk. 2020
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Biennial Baltic Electronics Conference - Tallinn, Viro Kesto: 6 lokak. 2020 → 8 lokak. 2020 Konferenssinumero: 17

Julkaisusarja

Nimi	Proceedings of the biennial Baltic Electronics Conference
Kustantaja	IEEE
ISSN (painettu)	1736-3705
ISSN (elektroninen)	2382-820X

Conference

Conference	Biennial Baltic Electronics Conference
Lyhennettä	BEC
Maa/Alue	Viro
Kaupunki	Tallinn
Ajanjakso	06/10/2020 → 08/10/2020

Rahoitus

ACKNOWLEDGMENT This work was supported by the Estonian Research Council grant PRG658.

Pääsy asiakirjaan

10.1109/BEC49624.2020.9276798

ELEC_Vodovozov_etal_Modelling-of-Versatile_PEC2020_acceptedauthormanuscriptAccepted author manuscript, 922 KB

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@inproceedings{08d9ff84007d4f318796980b4fcfb4ca,

title = "Modelling of a Versatile Vehicle Braking System with a Fuzzy PID Torque Controller",

abstract = "The paper concentrates on intelligent control of electric vehicles operated in different braking regimes, from gradual downhill motion to intensive antilock braking. A model of a versatile fuzzy PID torque controller is designed and assessed in MATLAB/Simulink{\texttrademark}. The system successfully follows the driver's demands in such changing environmental obstacles as tire-road friction, road inclination, wind velocity, etc. The best energy recovery is ensured in all braking modes. Simulation results, compared to experimental curves obtained from the hardware-in-The-loop test rig, demonstrate consistently high braking quality and potentiality of the proposed technique. ",

keywords = "Brakes, Electric vehicles, Energy recovery, Fuzzy logic, PID controller, Torque control",

author = "Valery Vodovozov and Zoja Raud and Andrei Aksjonov and Eduard Petlenkov",

year = "2020",

month = dec,

day = "8",

doi = "10.1109/BEC49624.2020.9276798",

language = "English",

series = "Proceedings of the biennial Baltic Electronics Conference",

publisher = "IEEE",

booktitle = "Proceedings of the 17th Biennial Baltic Electronics Conference, BEC 2020",

address = "United States",

note = "Biennial Baltic Electronics Conference, BEC ; Conference date: 06-10-2020 Through 08-10-2020",

}

Vodovozov, V, Raud, Z, Aksjonov, A & Petlenkov, E 2020, Modelling of a Versatile Vehicle Braking System with a Fuzzy PID Torque Controller. julkaisussa Proceedings of the 17th Biennial Baltic Electronics Conference, BEC 2020., 9276798, Proceedings of the biennial Baltic Electronics Conference, IEEE, Biennial Baltic Electronics Conference, Tallinn, Viro, 06/10/2020. https://doi.org/10.1109/BEC49624.2020.9276798

Modelling of a Versatile Vehicle Braking System with a Fuzzy PID Torque Controller. / Vodovozov, Valery; Raud, Zoja; Aksjonov, Andrei et al.
Proceedings of the 17th Biennial Baltic Electronics Conference, BEC 2020. IEEE, 2020. 9276798 (Proceedings of the biennial Baltic Electronics Conference).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Modelling of a Versatile Vehicle Braking System with a Fuzzy PID Torque Controller

AU - Vodovozov, Valery

AU - Raud, Zoja

AU - Aksjonov, Andrei

AU - Petlenkov, Eduard

N1 - Conference code: 17

PY - 2020/12/8

Y1 - 2020/12/8

N2 - The paper concentrates on intelligent control of electric vehicles operated in different braking regimes, from gradual downhill motion to intensive antilock braking. A model of a versatile fuzzy PID torque controller is designed and assessed in MATLAB/Simulink™. The system successfully follows the driver's demands in such changing environmental obstacles as tire-road friction, road inclination, wind velocity, etc. The best energy recovery is ensured in all braking modes. Simulation results, compared to experimental curves obtained from the hardware-in-The-loop test rig, demonstrate consistently high braking quality and potentiality of the proposed technique.

AB - The paper concentrates on intelligent control of electric vehicles operated in different braking regimes, from gradual downhill motion to intensive antilock braking. A model of a versatile fuzzy PID torque controller is designed and assessed in MATLAB/Simulink™. The system successfully follows the driver's demands in such changing environmental obstacles as tire-road friction, road inclination, wind velocity, etc. The best energy recovery is ensured in all braking modes. Simulation results, compared to experimental curves obtained from the hardware-in-The-loop test rig, demonstrate consistently high braking quality and potentiality of the proposed technique.

KW - Brakes

KW - Electric vehicles

KW - Energy recovery

KW - Fuzzy logic

KW - PID controller

KW - Torque control

UR - https://www.scopus.com/pages/publications/85098632877

U2 - 10.1109/BEC49624.2020.9276798

DO - 10.1109/BEC49624.2020.9276798

M3 - Conference article in proceedings

AN - SCOPUS:85098632877

T3 - Proceedings of the biennial Baltic Electronics Conference

BT - Proceedings of the 17th Biennial Baltic Electronics Conference, BEC 2020

PB - IEEE

T2 - Biennial Baltic Electronics Conference

Y2 - 6 October 2020 through 8 October 2020

ER -

Modelling of a Versatile Vehicle Braking System with a Fuzzy PID Torque Controller

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Conference

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