Title :
Sensorless Control for Induction Motors via Fuzzy Observer Design
Author :
Lian, Kuang-Yow ; Hung, Cheng-Yao
Author_Institution :
Dept. of Electr. Eng., Chung-Yuan Christian Univ.
Abstract :
In this paper, sensorless control for induction motors is developed based on fuzzy observer design. First, the T-S fuzzy model is used to exactly represent the induction motor. Then, the fuzzy observer of the induction motor is straight-forwardly constructed to estimate the immeasurable states of rotor speed and rotor flux, where the estimation gains are obtained by solving a set of linear matrix inequalities (LMIs). This observer scheme gives the estimated states converging to the real states exponentially. For the controller design, in light of the principles of vector control, a new concept, namely virtual-desired-variable synthesis is introduced to design the control law. Finally, numerical simulations and experiments are carried out to verify the theoretical results and show satisfactory performance
Keywords :
control system synthesis; fuzzy control; induction motors; linear matrix inequalities; machine vector control; observers; rotors; LMI; T-S fuzzy model; controller design; fuzzy observer design; induction motors; linear matrix inequalities; numerical simulations; rotor flux; rotor speed; sensorless control; vector control; virtual-desired-variable synthesis; Fuzzy control; Fuzzy sets; Induction motors; Lighting control; Linear matrix inequalities; Machine vector control; Observers; Rotors; Sensorless control; State estimation;
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.2006.295904