TY - GEN
T1 - Design of a second-order sliding mode MRAS speed estimator for the induction motor drive
AU - Orr, Jim
AU - Murray, Brandon
AU - Comanescu, Mihai
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/25
Y1 - 2016/4/25
N2 - The paper presents a speed estimation method for the induction motor (IM) drive. The speed is obtained using the Model Reference Adaptive System (MRAS) principle and is based on a second order sliding mode (SM) observer. First, the stationary frame fluxes of the IM are obtained using a Voltage Model Observer - this is based on the stator equations (which do not depend on speed) and serves as the reference model. The adjustable model re-estimates the fluxes and is made to match the reference model by adapting the speed - specifically, the speed estimate is a second order sliding mode term. The method is relatively simple and is not computationally intensive. The paper shows the implementation by first order sliding mode and also by second-order sliding mode. The speed estimate is obtained by filtering a switching term. The speed estimate is accurate and robust; when the second-order SM approach is used, it is obtained using minimal filtering only.
AB - The paper presents a speed estimation method for the induction motor (IM) drive. The speed is obtained using the Model Reference Adaptive System (MRAS) principle and is based on a second order sliding mode (SM) observer. First, the stationary frame fluxes of the IM are obtained using a Voltage Model Observer - this is based on the stator equations (which do not depend on speed) and serves as the reference model. The adjustable model re-estimates the fluxes and is made to match the reference model by adapting the speed - specifically, the speed estimate is a second order sliding mode term. The method is relatively simple and is not computationally intensive. The paper shows the implementation by first order sliding mode and also by second-order sliding mode. The speed estimate is obtained by filtering a switching term. The speed estimate is accurate and robust; when the second-order SM approach is used, it is obtained using minimal filtering only.
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U2 - 10.1109/PECI.2016.7459239
DO - 10.1109/PECI.2016.7459239
M3 - Conference contribution
AN - SCOPUS:84973856028
T3 - 2016 IEEE Power and Energy Conference at Illinois, PECI 2016
BT - 2016 IEEE Power and Energy Conference at Illinois, PECI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Power and Energy Conference at Illinois, PECI 2016
Y2 - 19 February 2016 through 20 February 2016
ER -