Abstract
The paper discusses the problem of speed and load torque estimation for the induction motor drive. Estimation is done considering that the motor fluxes in the stationary frame are available - these have been obtained using a Voltage Model Observer. With known fluxes, the paper designs a sliding mode observer that estimates both the speed and load torque. The observer is designed using an extended model of the motor. The method uses a different approach and is a significant improvement over the classic Model Reference Adaptive System (MRAS) method (which only estimates the speed). Simulations show that, owing to the sliding mode high-gain feedback, the speed estimate is robust and accurate both at steady-state and during transient; the estimate of the load torque is also accurate.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society |
| Publisher | IEEE Computer Society |
| Pages | 2743-2747 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509034741 |
| DOIs | |
| State | Published - Dec 21 2016 |
| Event | 42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy Duration: Oct 24 2016 → Oct 27 2016 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|
Other
| Other | 42nd Conference of the Industrial Electronics Society, IECON 2016 |
|---|---|
| Country | Italy |
| City | Florence |
| Period | 10/24/16 → 10/27/16 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
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Design and implementation of a Sliding Mode Pseudo-MRAS speed and load torque estimator for the induction motor. / Murray, Brandon; Orr, James; Comanescu, Mihai.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 2743-2747 7793106 (IECON Proceedings (Industrial Electronics Conference)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Design and implementation of a Sliding Mode Pseudo-MRAS speed and load torque estimator for the induction motor
AU - Murray, Brandon
AU - Orr, James
AU - Comanescu, Mihai
PY - 2016/12/21
Y1 - 2016/12/21
N2 - The paper discusses the problem of speed and load torque estimation for the induction motor drive. Estimation is done considering that the motor fluxes in the stationary frame are available - these have been obtained using a Voltage Model Observer. With known fluxes, the paper designs a sliding mode observer that estimates both the speed and load torque. The observer is designed using an extended model of the motor. The method uses a different approach and is a significant improvement over the classic Model Reference Adaptive System (MRAS) method (which only estimates the speed). Simulations show that, owing to the sliding mode high-gain feedback, the speed estimate is robust and accurate both at steady-state and during transient; the estimate of the load torque is also accurate.
AB - The paper discusses the problem of speed and load torque estimation for the induction motor drive. Estimation is done considering that the motor fluxes in the stationary frame are available - these have been obtained using a Voltage Model Observer. With known fluxes, the paper designs a sliding mode observer that estimates both the speed and load torque. The observer is designed using an extended model of the motor. The method uses a different approach and is a significant improvement over the classic Model Reference Adaptive System (MRAS) method (which only estimates the speed). Simulations show that, owing to the sliding mode high-gain feedback, the speed estimate is robust and accurate both at steady-state and during transient; the estimate of the load torque is also accurate.
UR - http://www.scopus.com/inward/record.url?scp=85010028207&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010028207&partnerID=8YFLogxK
U2 - 10.1109/IECON.2016.7793106
DO - 10.1109/IECON.2016.7793106
M3 - Conference contribution
AN - SCOPUS:85010028207
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 2743
EP - 2747
BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PB - IEEE Computer Society
ER -