Title :
A Novel Stator Resistance Identification for Speed Sensorless Induction Motor Drives Using Observer
Author :
Huang, Zhiwu ; Gui, Weihua ; Nian, Xiaohong ; Liu, Xinhao ; Shan, Yongteng
Author_Institution :
Sch. of Information Sci. & Eng., Central South Univ.
Abstract :
This paper designs a full-order adaptive observer and proposes adaptive identification laws for speed and stator resistance based on the proposed observer. By using the theory of Lyapunov stability, the gain of the observer can be obtained by solving two bilinear matrix inequalities using the LMI toolbox of MATLAB, which solves the problem of the unstable region in theory and the inaccurate estimation of speed, and it also reduces the effects of the stator resistance varying. The simulation model of speed sensorless induction motor using direct torque control is built in the Matlab6.5/Simulink and the result of simulation indicates that the adaptive observer has good steady-state and dynamic performance and good robustness
Keywords :
Lyapunov methods; adaptive control; induction motor drives; linear matrix inequalities; machine control; torque control; velocity control; LMI toolbox; Lyapunov stability; MATLAB; adaptive identification; adaptive observer; bilinear matrix inequalities; direct torque control; novel stator resistance identification; speed sensorless induction motor; speed sensorless induction motor drives; Computer languages; Induction motor drives; Induction motors; Linear matrix inequalities; Lyapunov method; MATLAB; Mathematical model; Programmable control; Stators; Torque control;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295916
