Title :
Induction motor drive parameters identification
Author :
Attaianese, Clro ; Damiano, Alfonso ; Marongiu, Ignazio ; Perfetto, Aldo
Author_Institution :
Dipartimento di Ingegneria Ind., Cassino Univ., Italy
Abstract :
The paper deals with real-time identification of the rotor parameters of the induction motor drive. The model reference adaptative control technique has been used for synthesising two identifiers. An appropriate choice of the reference model allows a Lyapunov function to be built by means of which the updating law of the rotor time constant can be found. A higher order identifier is also synthesised using the hyperstability approach which allows real-time updating of two rotor parameters. The persistent exciting property of the input vector assures the parameters convergence. Using a DSP-based system (TMS320C30), having 30 MHz clock frequency, a few experiments are conducted for testing the proposed identifiers performance in the case of a CRPWM inverter supplied drive
Keywords :
Lyapunov methods; PWM invertors; digital signal processing chips; electric machine analysis computing; induction motor drives; machine control; model reference adaptive control systems; parameter estimation; rotors; 30 MHz; CRPWM inverter supplied drive; DSP-based system; Lyapunov function; TMS320C30; hyperstability approach; induction motor drive parameters identification; model reference adaptative control; persistent exciting property; real-time updating; rotor parameters identification; rotor time constant; Clocks; Control system synthesis; Convergence; Frequency; Induction motor drives; Inverters; Lyapunov method; Parameter estimation; Rotors; System testing;
Conference_Titel :
Power Electronics Congress, 1996. Technical Proceedings. CIEP '96., V IEEE International
Conference_Location :
Cuernavaca
Print_ISBN :
0-7803-3633-X
DOI :
10.1109/CIEP.1996.618516