DocumentCode
482581
Title
Self-tuning vector control system of induction machines based on dual EKF
Author
Li, Jie ; Zhang, Yan ; Zhong, Yanru
Author_Institution
Dept. of Electr. Eng., Xi´´an Univ. of Technol., Xian
fYear
2008
fDate
17-20 Oct. 2008
Firstpage
1600
Lastpage
1603
Abstract
Dual EKF which is suitable for simultaneously on-line estimating states and parameters of nonlinear systems is applied to the rotor resistance and rotor flux on-line simultaneous estimation problem of vector control system of induction machines. Based on dual EKF, a self-tuning vector control system with higher performances is established. Simulation results show that the proposed scheme is effective at full speed range and under various operating conditions.
Keywords
Kalman filters; adaptive control; asynchronous machines; machine vector control; matrix algebra; self-adjusting systems; state estimation; extended Kalman filter; induction machines; nonlinear systems; rotor flux on-line simultaneous estimation problem; rotor resistance; self-tuning vector control system; Control systems; Frequency estimation; Induction machines; Machine vector control; Nonlinear systems; Parameter estimation; Rotors; State estimation; Stators; Synchronous motors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3826-6
Electronic_ISBN
978-7-5062-9221-4
Type
conf
Filename
4770985
Link To Document