TY - GEN
T1 - Simulation of PMSG wind turbine system with sensor-less control technology based on model reference adaptive system
AU - Liu, Weiliang
AU - Chen, Lei
AU - Ou, Jing
AU - Cheng, Shukang
PY - 2011
Y1 - 2011
N2 - Model reference adaptive system(MRAS) is introduced in speed estimation for salient pole permanent magnet generator(PMSG) in wind turbine system. Firstly, current model for the salient pole PMSG is established and used as adjustable model, and the salient pole PMSG itself is used as reference model, then the adaptive law is derived. The estimated speed is used for the control of PMSG wind turbine system with full power back to back PWM converters, and maximum wind power point tracking is achieved through the specified optimum torque of PMSG. Simulation model of wind turbine system is built to verify the sensor-less control technology, in which the PMSG uses finite element model. And the simulation results show that the MRAS sensor-less control strategy has a good performance with nonlinear magnetic field of PMSG fully considered.
AB - Model reference adaptive system(MRAS) is introduced in speed estimation for salient pole permanent magnet generator(PMSG) in wind turbine system. Firstly, current model for the salient pole PMSG is established and used as adjustable model, and the salient pole PMSG itself is used as reference model, then the adaptive law is derived. The estimated speed is used for the control of PMSG wind turbine system with full power back to back PWM converters, and maximum wind power point tracking is achieved through the specified optimum torque of PMSG. Simulation model of wind turbine system is built to verify the sensor-less control technology, in which the PMSG uses finite element model. And the simulation results show that the MRAS sensor-less control strategy has a good performance with nonlinear magnetic field of PMSG fully considered.
UR - https://www.scopus.com/pages/publications/83355171294
U2 - 10.1109/ICEMS.2011.6073826
DO - 10.1109/ICEMS.2011.6073826
M3 - 会议稿件
AN - SCOPUS:83355171294
SN - 9781457710445
T3 - 2011 International Conference on Electrical Machines and Systems, ICEMS 2011
BT - 2011 International Conference on Electrical Machines and Systems, ICEMS 2011
T2 - 2011 International Conference on Electrical Machines and Systems, ICEMS 2011
Y2 - 20 August 2011 through 23 August 2011
ER -