DocumentCode
3586653
Title
Dynamic determination of DC motor parameters - Simulation and testing
Author
Beloiu, Robert
Author_Institution
Comput. & Electr. Eng. Dept., Univ. of Pitesti, Pitesti, Romania
fYear
2014
Firstpage
13
Lastpage
18
Abstract
DC motors are widespread used in modern day applications of different kind, especially those that require a closed loop control. In order to use a DC motor in closed loop control systems, it is required to know the dynamic both electrical and mechanical parameters. Parameter estimation for DC motors, both brushed and brushless, is of equal importance in the field of motor control. Accurate determination of DC motor parameters is vital for a good control. The estimation of parameters could be done using several methods: using hybrid equivalent circuit model, step response, dynamic load variation, closed loop error approach, least square parametric estimation, least-squares approximation technique and a closed-loop disturbance observer. In the present paper, it is studied the dynamic mechanical parameter identification as a response to a step input signal and identified with a 2nd order dynamic system.
Keywords
brushless DC motors; closed loop systems; equivalent circuits; least squares approximations; load regulation; machine control; observers; parameter estimation; DC motor parameter dynamic determination; brushed DC motor control field; brushless DC motor; closed loop control system; closed loop disturbance observer; closed loop error approach; dynamic load variation; dynamic mechanical parameter identification; electrical parameter estimation; hybrid equivalent circuit model; least square parametric estimation; least squares approximation technique; step response; DC motors; Integrated circuit modeling; Mathematical model; Parameter estimation; Permanent magnet motors; Torque; Vehicle dynamics; DC motor; inertial torque; speed overshoot; transfer function; visous friction coefficient;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
Print_ISBN
978-1-4799-5478-0
Type
conf
DOI
10.1109/ECAI.2014.7090191
Filename
7090191
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