抄録
The accurate measurements of yaw angle and sideslip angle are essential for autonomous EV dynamics control. A novel lateral stability control method using on-board GPS receiver is proposed. With proposed Kalman filter, GPS measurement delay is revised and yaw angle and sideslip angle could be estimated efficiently. On the other hand, we choose model predictive control(MPC) as an advanced control method to deal with the constrained optimal tracking problem in autonomous driving. At last, simulation and experiment results verify the effectiveness of proposed control system.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017 |
| 出版者 | Newswood Limited |
| ページ | 197-201 |
| ページ数 | 5 |
| 巻 | 2227 |
| ISBN（電子版） | 9789881404732 |
| 出版物ステータス | Published - 2017 1 1 |
| イベント | 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong 継続期間: 2017 3 15 → 2017 3 17 |
Other
| Other | 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 |
|---|---|
| 国 | Hong Kong |
| 市 | Hong Kong |
| 期間 | 17/3/15 → 17/3/17 |
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ASJC Scopus subject areas
- Computer Science (miscellaneous)
これを引用
Control of Yaw Angle and Sideslip Angle Based on Kalman Filter Estimation for Autonomous EV from GPS. / Zhou, Yongkang; Liu, Weijun; Ogai, Harutoshi.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. 巻 2227 Newswood Limited, 2017. p. 197-201.研究成果: Conference contribution
}
TY - GEN
T1 - Control of Yaw Angle and Sideslip Angle Based on Kalman Filter Estimation for Autonomous EV from GPS
AU - Zhou, Yongkang
AU - Liu, Weijun
AU - Ogai, Harutoshi
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The accurate measurements of yaw angle and sideslip angle are essential for autonomous EV dynamics control. A novel lateral stability control method using on-board GPS receiver is proposed. With proposed Kalman filter, GPS measurement delay is revised and yaw angle and sideslip angle could be estimated efficiently. On the other hand, we choose model predictive control(MPC) as an advanced control method to deal with the constrained optimal tracking problem in autonomous driving. At last, simulation and experiment results verify the effectiveness of proposed control system.
AB - The accurate measurements of yaw angle and sideslip angle are essential for autonomous EV dynamics control. A novel lateral stability control method using on-board GPS receiver is proposed. With proposed Kalman filter, GPS measurement delay is revised and yaw angle and sideslip angle could be estimated efficiently. On the other hand, we choose model predictive control(MPC) as an advanced control method to deal with the constrained optimal tracking problem in autonomous driving. At last, simulation and experiment results verify the effectiveness of proposed control system.
KW - Autonomous driving
KW - Lateral stability control
KW - MPC
UR - http://www.scopus.com/inward/record.url?scp=85042180408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042180408&partnerID=8YFLogxK
M3 - Conference contribution
VL - 2227
SP - 197
EP - 201
BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017
PB - Newswood Limited
ER -