Abstract
In recent years, with the declining birthrate and the aging of the population, the demand for nursing care support equipment is increasing. Among them, wheelchairs are already common as nursing care support equipment. Therefore, demand for wheelchair research is high, and electric wheelchair is required to have higher functionality. In this paper, prevention of falling of the wheelchair as a part of enhancing the functionality of the electric wheelchair is described. Several studies on prevention of rollover of electric wheelchairs have already been reported, but since rider motion state is not taken into account in the calculation of rollover conditions, there is a problem that the rollover conditions does not conform to the actual situation. Therefore, the purpose of this study is to estimate the state of the rider by IMU sensor and to calculate accurate rollover condition. Several simulation results are shown to confirm the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 575-582 |
| Number of pages | 8 |
| ISBN (Electronic) | 9784886864055 |
| DOIs | |
| Publication status | Published - 2018 Oct 22 |
| Event | 8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018 - Niigata, Japan Duration: 2018 May 20 → 2018 May 24 |
Other
| Other | 8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018 |
|---|---|
| Country | Japan |
| City | Niigata |
| Period | 18/5/20 → 18/5/24 |
Keywords
- Fall prevention
- Kalman filter
- Wheelchair
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering