Title :
Experimental online identification of a three-mass mechanical system
Author :
Eker, Ilyas ; Vural, Mete
Author_Institution :
Electr. & Electron. Eng. Dept., Univ. of Gaziantep, Turkey
Abstract :
Plant identification has long been of prime interest in industrial applications. This paper presents experimental online identification of a DC motor in digital input/output model. Studies are carried out by formulating the mathematical model of the plant using differential equations, and discrete-time identification using online plant input-output data. A recursive least squares method is used to estimate the unknown parameters of the motor. Discrete-time data are obtained experimentally carrying out on a DC motor setup. A direct identification method is used in closed loop identification. The root-mean-square (RMS) error criterion is used for model validation. Results obtained in open loop and closed loop identifications are presented which show variations in machine parameters.
Keywords :
DC motors; closed loop systems; differential equations; discrete time systems; identification; least mean squares methods; DC motor; closed loop identification; differential equations; digital input/output model; discrete time data; discrete time identification; industrial applications; least squares method; machine parameters; mathematical model formulation; model validation; online identification; open loop identifications; parameter estimation; plant identification; plant input-output data; root mean square error criterion; three mass mechanical system; Adaptive control; Control systems; DC motors; Mechanical systems; Motion control; Position control; Shafts; Springs; Torque; Voltage;
Conference_Titel :
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Print_ISBN :
0-7803-7729-X
DOI :
10.1109/CCA.2003.1223259
