DC Motor Parameter Identification Using Speed Step Responses

Abstract

Based on the DC motor speed response measurement under a step voltage input, important motor parameters such as the electrical time constant, the mechanical time constant, and the friction can be estimated. A power series expansion of the motor speed response is presented, whose coefficients are related to the motor parameters. These coefficients can be easily computed using existing curve fitting methods. Experimental results are presented to demonstrate the application of this approach. In these experiments, the approach was readily implemented and gave more accurate estimates than conventional methods.

A method for identifying otological drill entanglement with a cotton swab

“…where T m is the time constant of the motor and can be measured experimentally [12]. In this case, T m was approximately 0.09 s. The solution of Equation 4 is related not only to the resistance moment, but also to the initial value of the electromagnetic torque.…”

Construction of an Instrumentation Kit for Identification and Control of DC Motors

“…The DC motor guarantees a good torque generation and is efficient for speed control. In some cases, for the design of control systems it is necessary to have an accurate dynamic model of the DC motor [1,2,3]. The use of experimental methods allows the determination of the dynamic model of a DC motor.…”

“…The use of experimental methods allows the determination of the dynamic model of a DC motor. An example of identification methodology is presented in [3]. Where the identification of the dynamic model parameters is done by measuring the motor speed response that results from the application of a constant voltage input.…”

Dynamic determination of DC motor parameters - Simulation and testing

“…Accurate determination of DC motor parameters is vital for a good control [3] [4][5] [6]. The estimation of parameters could be done using several methods: using hybrid equivalent circuit model [7], step response [8], dynamic load variation [1], closed loop error approach [2], least square parametric estimation [5], least-squares approximation technique and a closed-loop disturbance observer [6].…”

“…In [8], the author studies the parameter determination of a DC motor by factorization of the transfer function using LabView environment for simulation and calculation.…”