An approach to sensorless detection of human input torque and its application to power assist motion in electric wheelchair

Translated title of the contribution: An approach to sensorless detection of human input torque and its application to power assist motion in electric wheelchair

Yukiko Kaida, Toshiyuki Murakami

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)

Abstract

A wheelchair is an important apparatus of mobility for people with disability. Power-assist motion in an electric wheelchair is to expand the operator's field of activities. This paper describes force sensorless detection of human input torque. Reaction torque estimation observer calculates the total disturbance torque first. Then, the human input torque is extracted from the estimated disturbance. In power-assist motion, assist torque is synthesized according to the product of assist gain and the average torque of the right and left input torque. Finally, the proposed method is verified through the experiments of power-assist motion.

Translated title of the contributionAn approach to sensorless detection of human input torque and its application to power assist motion in electric wheelchair
Original languageJapanese
Pages (from-to)137-142
Number of pages6
Journalieej transactions on industry applications
Volume126
Issue number2
DOIs
Publication statusPublished - 2006

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'An approach to sensorless detection of human input torque and its application to power assist motion in electric wheelchair'. Together they form a unique fingerprint.

Cite this