Parameters Identification of a Direct Current Motor Using the Trust Region Algorithm

Wagner de S. Chaves; Eduardo H. Kaneko; Matheus F. Mollon; Lucas Niro; Alessandro do N. Vargas; Marcio A. F. Montezuma

Parameters Identification of a Direct Current Motor Using the Trust Region Algorithm

( Vol-4,Issue-12,December 2017 ) OPEN ACCESS

Author(s):

Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Lucas Niro, Alessandro do N. Vargas, Marcio A. F. Montezuma

Keywords:

Control Systems, Parameters Identification.

Abstract:

In this paper, the trust region algorithm was used to identify the parameters of the dynamic model of a permanent magnet direct current (PMDC) motor, using the MATLAB/Simulink Parameter Estimation tool. The objective was to estimate the parameters applying the square wave, pseudo-random binary sequence (PRBS) and random signals in the motor excitation. The obtained models were evaluated in open and closed loop, where a speed control project was applied using the entire eigenstructure assignment. The error between the simulated and real curves of velocity and current were evaluated by means of the normalized root mean squared error (NRMSE).