Ádller de O. Guimarães, José P. da Silva, and Emmanuel R.M. Dantas


  1. [1] N.P. Adhikari, M. Choubey, and R. Singh, DC motor control using Ziegler–Nichols and genetic algorithm technique, Journal of Electrical, Electronics and Computer Engineering, 1(1), 2012, 34–46.
  2. [2] R. Bindu and M.K. Namboothiripad, Tuning of PID controller of DC servo motor using genetic algorithm, International Journal of Emerging Technology and Advanced Engineering, 2(3), 2012, 310–314.
  3. [3] T. Neenu and P. Pongodi, Position control of DC motor using genetic algorithm based PID controller, Proc. of the World Congress on Engineering, 2(1), 2009, 1618–1622.
  4. [4] A. Benmakhlouf, A. Louchene, and D. Djarah, Fuzzy logic and modified crisp logic applied to a DC motor position control, Journal (201) Control and Intelligent Systems, 38(3), 2010, 173–180.
  5. [5] Xian H. Li, Hai B. Yu, and Ming Z. Yuan, A new design method of optimal PID controller with dynamic performances constrained, Journal (201) Control and Intelligent Systems, 40(4), 2012, 1–21.
  6. [6] W. Tan, H.J. Marquez, and T. Chen, Performance assessment of PID controllers, Journal (201) Control and Intelligent Systems, 32(3), 2004, 158–166.
  7. [7] D.E. Goldberg, Genetic algorithms in search, optimization, and machine learning (EUA: Addison-Wesley, 1989).
  8. [8] C.T. Su and C.L. Chiang, Optimal position/speed control of induction motor using improved genetic algorithm and fuzzy phase plane controller, Journal (201) Control and Intelligent Systems, 32(2), 2004, 104–115.
  9. [9] A.E. Fitzgerald, C.J. Kingsley, and D.U. Stephen, Máquinas Elétricas: Com introdu¸cão `a eletronica de potencia, 6th ed. (Porto Alegre: Bookman, 2006).
  10. [10] K. Ogata, Modern control engineering, 3th ed. (Upper Saddle River, NJ: Prentice Hall, 1997).
  11. [11] J.H. Holland, Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control and artificial intelligence, 1st ed. (New York, NY: Ann Arbor, 1975).
  12. [12] R. Linden, Algoritmos Genéticos: Uma importante ferramenta da Inteligencia Computacional, 2nd ed. (Rio de Janeiro: Brasport, 2008).
  13. [13] P.A. Maya and F. Leonardi, Controle Essencial (São Paulo: Pearson Education do Brasil, 2011).

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