Title :
Exponentially convergent rotor resistance estimation for induction motors
Author :
Marino, Riccardo ; Peresada, Sergei ; Tomei, Patrizio
Author_Institution :
Dipartimento di Ingegneria Elettronica, Rome Univ., Italy
fDate :
10/1/1995 12:00:00 AM
Abstract :
A new estimation algorithm is presented which provides exponential estimation of rotor resistance for induction motor drives in physical operating conditions. The exponential convergence is not influenced by the value assumed by rotor speed, including zero speed. The algorithm also provides flux estimates and may be viewed as an adaptive observer. Experimental results show good performance with a sampling time of 0.8 ms which makes the algorithm implementable on-line by available digital signal processors
Keywords :
digital control; digital signal processing chips; electric resistance; induction motor drives; machine control; magnetic flux; observers; parameter estimation; rotors; 0.8 s; adaptive observer; digital signal processors; exponentially convergent estimation; flux estimates; induction motor drives; rotor resistance estimation; Digital signal processors; Feedback control; Helium; Induction motors; Reactive power; Rotors; Signal processing algorithms; Signal sampling; Stators; Voltage;
Journal_Title :
Industrial Electronics, IEEE Transactions on
Conference_Location :
10/1/1995 12:00:00 AM