| Parameters Identification of a Direct Current Motor Using the Trust Region Algorithm( Vol-4,Issue-12,December 2017 ) |
| Author(s): |
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Wagner de S. Chaves, Eduardo H. Kaneko, Matheus F. Mollon, Lucas Niro, Alessandro do N. Vargas, Marcio A. F. Montezuma |
| Keywords: |
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Control Systems, Parameters Identification. |
| Abstract: |
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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). |
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| References: |
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[1] T. Gonen. Electrical Machines with MATLAB. CRC Press, 2011.
[2] M. A. S. Moura. Modelação e identificação de motor dc. M.S. Thesis, Departamento de Engenharia Eletrotécnica, Instituto Superior de Engenharia do Porto, Porto, 2014. [3] K. Ogata. Modern Control Engineering.4th ed. Upper Saddle River, NJ: Prentence-Hall, 2002. [4] L. A. Aguirre. Introdução à identificação de sistemas técnicas lineares e não-lineares aplicadas a sistemas reais. Belo Horizonte: Editora UFMG, 2004. [5] R. Fletcher. Practical methods of optimization. John Wiley & Sons, 2013. [6] C. T. Kelley. Iterative methods for optimization. Society for Industrial and Applied Mathematics, 1999. [7] J. D’azzo and C. Houpis. Linear control system analysis and design: conventional and modern. 4th ed. New York: McGraw-Hill Companies, 1995. |
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