Title :
Simulation of PMSG wind turbine system with sensor-less control technology based on model reference adaptive system
Author :
Liu, Weiliang ; Chen, Lei ; Ou, Jing ; Cheng, Shukang
Author_Institution :
Dept. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
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.
Keywords :
PWM power convertors; finite element analysis; magnetic fields; maximum power point trackers; model reference adaptive control systems; permanent magnet generators; power generation control; sensorless machine control; synchronous generators; wind turbines; MRAS; PMSG optimum torque; PMSG wind turbine system; PWM power converter; finite element model; maximum wind power point tracking; model reference adaptive system; nonlinear magnetic field; salient PMSG; salient pole permanent magnet synchronous generator; sensorless control technology; speed estimation; Adaptation models; Equations; Generators; Mathematical model; Permanent magnets; Wind power generation; Wind turbines;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
DOI :
10.1109/ICEMS.2011.6073826
