Power assisting control for electric bicycles using an adaptive filter

Kazuyoshi Hatada, Kentaro Hirata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper considers controller synthesis problem of power assisting system for periodic motions. Most commercial electric power assisting bicycles are using proportional assist to human pedaling torque. However, human pedaling motion is almost periodic and it can be shown that such a strategy is not optimal in the sense of energy efficiency. In our previous work, we observed that pedaling frequency of human fluctuates to some extent. Thus, an adaptive compensation is introduced here. In particular, we propose a power assisting control with adaptive notch filter to suppress the velocity deviation. The effectiveness of the proposed method is demonstrated through numerical simulations.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-54
Number of pages4
ISBN (Print)9781479939398
DOIs
Publication statusPublished - Sep 9 2014
Externally publishedYes
Event2014 IEEE International Conference on Industrial Technology, ICIT 2014 - Busan, Korea, Republic of
Duration: Feb 26 2014Mar 1 2014

Other

Other2014 IEEE International Conference on Industrial Technology, ICIT 2014
CountryKorea, Republic of
CityBusan
Period2/26/143/1/14

Fingerprint

Notch filters
Bicycles
Adaptive filters
Power control
Energy efficiency
Torque
Controllers
Computer simulation
Compensation and Redress

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Hatada, K., & Hirata, K. (2014). Power assisting control for electric bicycles using an adaptive filter. In Proceedings of the IEEE International Conference on Industrial Technology (pp. 51-54). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2014.6894971

Power assisting control for electric bicycles using an adaptive filter. / Hatada, Kazuyoshi; Hirata, Kentaro.

Proceedings of the IEEE International Conference on Industrial Technology. Institute of Electrical and Electronics Engineers Inc., 2014. p. 51-54.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hatada, K & Hirata, K 2014, Power assisting control for electric bicycles using an adaptive filter. in Proceedings of the IEEE International Conference on Industrial Technology. Institute of Electrical and Electronics Engineers Inc., pp. 51-54, 2014 IEEE International Conference on Industrial Technology, ICIT 2014, Busan, Korea, Republic of, 2/26/14. https://doi.org/10.1109/ICIT.2014.6894971
Hatada K, Hirata K. Power assisting control for electric bicycles using an adaptive filter. In Proceedings of the IEEE International Conference on Industrial Technology. Institute of Electrical and Electronics Engineers Inc. 2014. p. 51-54 https://doi.org/10.1109/ICIT.2014.6894971
Hatada, Kazuyoshi ; Hirata, Kentaro. / Power assisting control for electric bicycles using an adaptive filter. Proceedings of the IEEE International Conference on Industrial Technology. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 51-54
@inproceedings{eb64824de9384351873b09eccde73811,
title = "Power assisting control for electric bicycles using an adaptive filter",
abstract = "This paper considers controller synthesis problem of power assisting system for periodic motions. Most commercial electric power assisting bicycles are using proportional assist to human pedaling torque. However, human pedaling motion is almost periodic and it can be shown that such a strategy is not optimal in the sense of energy efficiency. In our previous work, we observed that pedaling frequency of human fluctuates to some extent. Thus, an adaptive compensation is introduced here. In particular, we propose a power assisting control with adaptive notch filter to suppress the velocity deviation. The effectiveness of the proposed method is demonstrated through numerical simulations.",
author = "Kazuyoshi Hatada and Kentaro Hirata",
year = "2014",
month = "9",
day = "9",
doi = "10.1109/ICIT.2014.6894971",
language = "English",
isbn = "9781479939398",
pages = "51--54",
booktitle = "Proceedings of the IEEE International Conference on Industrial Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Power assisting control for electric bicycles using an adaptive filter

AU - Hatada, Kazuyoshi

AU - Hirata, Kentaro

PY - 2014/9/9

Y1 - 2014/9/9

N2 - This paper considers controller synthesis problem of power assisting system for periodic motions. Most commercial electric power assisting bicycles are using proportional assist to human pedaling torque. However, human pedaling motion is almost periodic and it can be shown that such a strategy is not optimal in the sense of energy efficiency. In our previous work, we observed that pedaling frequency of human fluctuates to some extent. Thus, an adaptive compensation is introduced here. In particular, we propose a power assisting control with adaptive notch filter to suppress the velocity deviation. The effectiveness of the proposed method is demonstrated through numerical simulations.

AB - This paper considers controller synthesis problem of power assisting system for periodic motions. Most commercial electric power assisting bicycles are using proportional assist to human pedaling torque. However, human pedaling motion is almost periodic and it can be shown that such a strategy is not optimal in the sense of energy efficiency. In our previous work, we observed that pedaling frequency of human fluctuates to some extent. Thus, an adaptive compensation is introduced here. In particular, we propose a power assisting control with adaptive notch filter to suppress the velocity deviation. The effectiveness of the proposed method is demonstrated through numerical simulations.

UR - http://www.scopus.com/inward/record.url?scp=84907718305&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907718305&partnerID=8YFLogxK

U2 - 10.1109/ICIT.2014.6894971

DO - 10.1109/ICIT.2014.6894971

M3 - Conference contribution

SN - 9781479939398

SP - 51

EP - 54

BT - Proceedings of the IEEE International Conference on Industrial Technology

PB - Institute of Electrical and Electronics Engineers Inc.

ER -