Power assisting method for almost-periodic motions based on motion prediction

Kazuyoshi Hatada; Kentaro Hirata; Takuma Sato

doi:10.1109/ICIT.2015.7125134

Power assisting method for almost-periodic motions based on motion prediction

Kazuyoshi Hatada, Kentaro Hirata, Takuma Sato

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

In this paper, we consider a synthesis procedure of power assisting systems for almost-periodic motions. In our previous study, we showed that the energy efficiency can be improved when a flat torque pattern is realized by removing the input pulsation. In this study, we apply a motion prediction technique based on the Time-Varying Seasonal AR model to the design problem of power assisting systems. The effectiveness of the proposed method is demonstrated through numerical simulations.

Original language	English
Pages	417-422
Number of pages	6
DOIs	https://doi.org/10.1109/ICIT.2015.7125134
Publication status	Published - Jun 16 2015
Event	2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain Duration: Mar 17 2015 → Mar 19 2015

Other

Other	2015 IEEE International Conference on Industrial Technology, ICIT 2015
Country/Territory	Spain
City	Seville
Period	3/17/15 → 3/19/15

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

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

Access to Document

10.1109/ICIT.2015.7125134

Cite this

@conference{8346ecb6922741c8a0e638a263b9890e,

title = "Power assisting method for almost-periodic motions based on motion prediction",

abstract = "In this paper, we consider a synthesis procedure of power assisting systems for almost-periodic motions. In our previous study, we showed that the energy efficiency can be improved when a flat torque pattern is realized by removing the input pulsation. In this study, we apply a motion prediction technique based on the Time-Varying Seasonal AR model to the design problem of power assisting systems. The effectiveness of the proposed method is demonstrated through numerical simulations.",

author = "Kazuyoshi Hatada and Kentaro Hirata and Takuma Sato",

year = "2015",

month = jun,

day = "16",

doi = "10.1109/ICIT.2015.7125134",

language = "English",

pages = "417--422",

note = "2015 IEEE International Conference on Industrial Technology, ICIT 2015 ; Conference date: 17-03-2015 Through 19-03-2015",

}

TY - CONF

T1 - Power assisting method for almost-periodic motions based on motion prediction

AU - Hatada, Kazuyoshi

AU - Hirata, Kentaro

AU - Sato, Takuma

PY - 2015/6/16

Y1 - 2015/6/16

N2 - In this paper, we consider a synthesis procedure of power assisting systems for almost-periodic motions. In our previous study, we showed that the energy efficiency can be improved when a flat torque pattern is realized by removing the input pulsation. In this study, we apply a motion prediction technique based on the Time-Varying Seasonal AR model to the design problem of power assisting systems. The effectiveness of the proposed method is demonstrated through numerical simulations.

AB - In this paper, we consider a synthesis procedure of power assisting systems for almost-periodic motions. In our previous study, we showed that the energy efficiency can be improved when a flat torque pattern is realized by removing the input pulsation. In this study, we apply a motion prediction technique based on the Time-Varying Seasonal AR model to the design problem of power assisting systems. The effectiveness of the proposed method is demonstrated through numerical simulations.

UR - http://www.scopus.com/inward/record.url?scp=84937713378&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937713378&partnerID=8YFLogxK

U2 - 10.1109/ICIT.2015.7125134

DO - 10.1109/ICIT.2015.7125134

M3 - Paper

AN - SCOPUS:84937713378

SP - 417

EP - 422

T2 - 2015 IEEE International Conference on Industrial Technology, ICIT 2015

Y2 - 17 March 2015 through 19 March 2015

ER -

Power assisting method for almost-periodic motions based on motion prediction

Abstract

Other

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this