TY - GEN
T1 - Parametrically robust mutual inductance estimation based adaptive control architecture for Doubly Fed Induction Generator (DFIG)
AU - Nair, Anuprabha Ravindran
AU - Bhattarai, Rojan
AU - Kamalasadan, Sukumar
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - This paper demonstrates a method for adaptive speed sensorless control of DFIG considering machine parameter variations. Proposed architecture overrides the issues related to speed and position sensors by estimating it from measured machine parameters. The adaptive control proposed here is based on system identification using Recursive Least Square identification (RLS) technique and Extended Minimum Variance Controller (EMVC). Addition of terminal voltage control loop considering the rotor current component improves the performance during dynamic system conditions and machine parametric variations. The proposed EMVC based control architecture makes the system parametrically robust along with improving dynamic stability when compared to classical minimum variance control (MVC). The proposed framework is validated both in MATLAB Simulink and Opal RT's Real Time simulation platform for a 1.5MW Doubly Fed Induction Machine setup.
AB - This paper demonstrates a method for adaptive speed sensorless control of DFIG considering machine parameter variations. Proposed architecture overrides the issues related to speed and position sensors by estimating it from measured machine parameters. The adaptive control proposed here is based on system identification using Recursive Least Square identification (RLS) technique and Extended Minimum Variance Controller (EMVC). Addition of terminal voltage control loop considering the rotor current component improves the performance during dynamic system conditions and machine parametric variations. The proposed EMVC based control architecture makes the system parametrically robust along with improving dynamic stability when compared to classical minimum variance control (MVC). The proposed framework is validated both in MATLAB Simulink and Opal RT's Real Time simulation platform for a 1.5MW Doubly Fed Induction Machine setup.
KW - Extended Minimum Variance Controller (EMVC)
KW - Keywords DFIG
KW - Minimum variance controller (MVC)
KW - Recursive Least Squares (RLS)
UR - https://www.scopus.com/pages/publications/85076750456
U2 - 10.1109/ECCE.2019.8913058
DO - 10.1109/ECCE.2019.8913058
M3 - Conference contribution
AN - SCOPUS:85076750456
T3 - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
SP - 434
EP - 441
BT - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Y2 - 29 September 2019 through 3 October 2019
ER -