DocumentCode
2274322
Title
Research on maximal power tracking control for brushless doubly-fed wind power generator based on DTC
Author
Jin, Shi ; Zhang, Fengge
Author_Institution
Educ. Minist. & Province Key Lab. of Special Motor & High Voltage Apparatus, Shenyang Univ. of Technol., Shenyang, China
fYear
2011
fDate
20-23 Aug. 2011
Firstpage
1
Lastpage
5
Abstract
In order to implement the maximal power tracking control of brushless doubly-fed wind power generation system, direct torque control (DTC) is adopted based on the power output characteristics of wind turbine. And for the problem of the bad robustness of flux observation as brushless doubly-fed generator (BDFG) running at lower excitation current frequency of control winding side, a sliding mode flux observer is designed. The switching function in common sliding mode observer is replaced by a continuous function to weaken the chattering. Through simulation and experiment comparison with the operation performance of DTC system based on u-i flux model back EMF integral algorithm, it can be seen that the designed flux observer can enhance the accuracy of flux estimation and can effectively improve the operation performance of DTC system as the frequency of BDFG control winding side is lower.
Keywords
brushless machines; control nonlinearities; control system synthesis; electric potential; machine control; machine windings; magnetic flux; maximum power point trackers; observers; power generation control; torque control; variable structure systems; wind power plants; wind turbines; BDFG; DTC; back-EMF integral algorithm; brushless doubly-fed wind power generator; chattering; direct torque control; excitation current frequency; flux estimation; flux observation; maximal power tracking control; power output characteristics; sliding mode flux observer design; switching function; u-i flux model; wind turbine; winding; Frequency control; Mathematical model; Observers; Vectors; Wind power generation; Wind speed; Windings;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-1044-5
Type
conf
DOI
10.1109/ICEMS.2011.6073499
Filename
6073499
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