Recursive Least Squares Method in Parameters Identification

Recursive Least Squares Method in Parameters Identification of DC Motors Models
Dedicated to Professor Mili´c Stoji´c on the occasion of his 65th birthdayRadojka Krneta, Sanja Anti´c, and Danilo Stojanovi´c
Abstract: The procedure of parameters identification of DC motor model using a method of recursive least squares is described in this paper. To identify the system an experimental measuring of signals was carrying out at input - supply of voltage and output of the system for identification - motor angle speed. For the needs of the experiment, a system has been configured with a motor and an optical encoder whose output is connected with the counter input of acquisition card LCK-6013 which overa block connector CB-68LP makes a connection with a computer. The speed of the motor measured by optical encoder is compared with the speed of identified system inorder to confirm the quality of the motor model's parameters estimation.

Conclusion:This paper has investigated the issues involved in applying Recursive Least Squares method in parameters identification of DC motor models. The issues have been considered both theoretically and experimentally. The experimental work was performed on a DC motor with an optical encoder as an output of the system. The validity of the proposed method was shown by simulation an experiments. By comparing a graphic of real motor speed and a graphics of speed of investigated models in a Z and S domains it can be concluded that a satisfying quality of DCmotor parameters identification has been achieved.

FACTA UNIVERSITATIS (NIS)
SER.: ELEC. ENERG. vol. 18, no. 3, December 2005, 467-478