Abstract
The wide availability of microprocessors with much higher computational power capabilities has encouraged many researchers during the last decade to introduce the predictive control techniques to the field of power electronics and motor drives. One technique of predictive control, which is called model predictive control, is introduced in this paper and its application to control a five-phase induction motor is also presented. The mathematical formulation of both model predictive torque control and model predictive speed control algorithms are explained, which shows that the algorithms' equations are intuitive so they can be easily understood and implemented. Since a load torque estimate is needed in the predictive speed controller, an observer based on the minimal-order Gopinath's method is designed to get the load torque value. A comparison between the two techniques is carried out based on a simulation study. Also, the simulation results show the effectiveness of the predictive control in achieving a high dynamic performance control of multiphase induction motor drives.
| Language | English |
|---|---|
| Title of host publication | 2017 19th International Middle-East Power Systems Conference, MEPCON 2017 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 91-96 |
| Number of pages | 6 |
| Volume | 2018-February |
| ISBN (Electronic) | 9781538609903 |
| DOIs | |
| Publication status | Published - 22 Feb 2018 |
| Event | 19th International Middle-East Power Systems Conference, MEPCON 2017 - Cairo, Egypt Duration: 19 Dec 2017 → 21 Dec 2017 |
Other
| Other | 19th International Middle-East Power Systems Conference, MEPCON 2017 |
|---|---|
| Country | Egypt |
| City | Cairo |
| Period | 19/12/17 → 21/12/17 |
Fingerprint
Keywords
- Induction motor drive
- Model predictive control
- Multiphase machine
- Predictive speed control
- Predictive torque control
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
Cite this
A comparative simulation study between predictive torque and speed controllers for five-phase induction motor. / Shehata, Khaled F.; Youssef, Karim H.; Abdel-Khalik, Ayman; Ahmed, Mohamed M.
2017 19th International Middle-East Power Systems Conference, MEPCON 2017 - Proceedings. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. p. 91-96.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A comparative simulation study between predictive torque and speed controllers for five-phase induction motor
AU - Shehata, Khaled F.
AU - Youssef, Karim H.
AU - Abdel-Khalik, Ayman
AU - Ahmed, Mohamed M.
PY - 2018/2/22
Y1 - 2018/2/22
N2 - The wide availability of microprocessors with much higher computational power capabilities has encouraged many researchers during the last decade to introduce the predictive control techniques to the field of power electronics and motor drives. One technique of predictive control, which is called model predictive control, is introduced in this paper and its application to control a five-phase induction motor is also presented. The mathematical formulation of both model predictive torque control and model predictive speed control algorithms are explained, which shows that the algorithms' equations are intuitive so they can be easily understood and implemented. Since a load torque estimate is needed in the predictive speed controller, an observer based on the minimal-order Gopinath's method is designed to get the load torque value. A comparison between the two techniques is carried out based on a simulation study. Also, the simulation results show the effectiveness of the predictive control in achieving a high dynamic performance control of multiphase induction motor drives.
AB - The wide availability of microprocessors with much higher computational power capabilities has encouraged many researchers during the last decade to introduce the predictive control techniques to the field of power electronics and motor drives. One technique of predictive control, which is called model predictive control, is introduced in this paper and its application to control a five-phase induction motor is also presented. The mathematical formulation of both model predictive torque control and model predictive speed control algorithms are explained, which shows that the algorithms' equations are intuitive so they can be easily understood and implemented. Since a load torque estimate is needed in the predictive speed controller, an observer based on the minimal-order Gopinath's method is designed to get the load torque value. A comparison between the two techniques is carried out based on a simulation study. Also, the simulation results show the effectiveness of the predictive control in achieving a high dynamic performance control of multiphase induction motor drives.
KW - Induction motor drive
KW - Model predictive control
KW - Multiphase machine
KW - Predictive speed control
KW - Predictive torque control
UR - http://www.scopus.com/inward/record.url?scp=85047466931&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047466931&partnerID=8YFLogxK
U2 - 10.1109/MEPCON.2017.8301168
DO - 10.1109/MEPCON.2017.8301168
M3 - Conference contribution
VL - 2018-February
SP - 91
EP - 96
BT - 2017 19th International Middle-East Power Systems Conference, MEPCON 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -