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PID and Fuzzy Logic Controllers for DC Motor Speed Control

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Computer and Communication Engineering (ICCCE 2018)

Abstract

Proportional, integral and derivative (PID) controllers are commonly applied in industrial environments because of their performance and simplicity application in linear systems. On the other hand, Fuzzy logic controllers (FLC) imitate the human knowledge applying a linguistic ideology instead of mathematical calculations. These features make FLC suitable for nonlinear systems by providing an affordable response in terms of speed control. This research proposes a comparative study between PID controller and FLC for separately excited DC motor. Both controllers are tested under different conditions such as overshoot percentage, rise time, torque load disturbance and multiple steps input. Furthermore, this study determines the benefits and drawbacks of each controller when they are evaluated to obtain an appropriated output for DC motor speed control.

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References

  1. Tipsuwanporn, V., Numsomran, A., Klinsmitth, N., Gulphanich, S.: Separately excited DC motor drive with fuzzy self-organizing. In: 2007 International Conference on Control, Automation and Systems, Seoul, pp. 1316–1321 (2007)

    Google Scholar 

  2. Morán, M.E.F., Viera, N.A.P.: Comparative study for DC motor position controllers. In: 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), pp. 1–6 (2017)

    Google Scholar 

  3. Arrofiq, M., Saad, N.: A simulation of PLC-based self-tuning PI - fuzzy logic controller for DC motor. In: 2008 International Symposium on Information Technology, Kuala Lumpur, Malaysia, pp. 1–8 (2008)

    Google Scholar 

  4. Dani, S., Sonawane, D., Ingole, D., Patil, S.: Performance evaluation of PID, LQR and MPC for DC motor speed control. In: 2017 2nd International Conference for Convergence in Technology (I2CT), Mumbai, pp. 348–354 (2017)

    Google Scholar 

  5. Kukolj, D., Kulic, F., Levi, E.: Artificial intelligence based gain scheduling of PI speed controller in DC motor drives. In: Proceedings of the IEEE International Symposium on Industrial Electronics. ISIE 1999, Bled, pp. 425–429 (1999)

    Google Scholar 

  6. Muñoz-César, J.J., Merchán-Cruz, E.A., Hernández-Gómez, L.H., Guerrero-Guadarrama, E., Jiménez-Ledesma, A., Jaidar-Monter, I.: Speed control of a DC brush motor with conventional PID and fuzzy PI controllers. In: Electronics, Robotics and Automotive Mechanics Conference. CERMA 2008, Morelos, pp. 344–349 (2008)

    Google Scholar 

  7. Ghalehpardaz, S.L., Shafiee, M.: Speed control of DC motor using imperialist competitive algorithm based on PI-Like FLC. In: 2011 Third International Conference on Computational Intelligence, Modelling & Simulation, Langkawi, pp. 28–33 (2011)

    Google Scholar 

  8. Almutairi, N.B., Chow, M.Y.: A modified PI control action with a robust adaptive fuzzy controller applied to DC motor. In: Proceedings of the International Joint Conference on Neural Networks. IJCNN 2001. Washington, DC, pp. 503–508 (2001)

    Google Scholar 

  9. Gupta, S.K., Varshney, P.: Fractional fuzzy PID controller for speed control of DC motor. In: 2013 Third International Conference on Advances in Computing and Communications, Cochin, pp. 1–4 (2013)

    Google Scholar 

  10. Sahputro, S.D., Fadilah, F., Wicaksono, N.A., Yusivar, F.: Design and implementation of adaptive PID controller for speed control of DC motor. In: 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering, Nusa Dua, pp. 179–183 (2017)

    Google Scholar 

  11. Flores-Morán, E., Yánez-Pazmiño, W., Barzola-Monteses, J.: Genetic algorithm and fuzzy self-tuning PID for DC motor position controllers. In: 2018 19th International Carpathian Control Conference (ICCC), Szilvasvarad, pp. 162–168 (2018)

    Google Scholar 

  12. Haz, L., Calle, W., Moran, M.E.F., Carcelen, J., Cortez, A., Nunez-Unda, A.: Design of smart stretchers and vital signs monitoring system for reduced-mobility patients. In: 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Caceres, pp. 1–5 (2018)

    Google Scholar 

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Correspondence to Eduardo Flores-Morán .

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Flores-Morán, E., Yánez-Pazmiño, W., Espin-Pazmiño, L., Molina-Miranda, M., Guzmán-Real, C. (2019). PID and Fuzzy Logic Controllers for DC Motor Speed Control. In: Botto-Tobar, M., Barzola-Monteses, J., Santos-Baquerizo, E., Espinoza-Andaluz, M., Yánez-Pazmiño, W. (eds) Computer and Communication Engineering. ICCCE 2018. Communications in Computer and Information Science, vol 959. Springer, Cham. https://doi.org/10.1007/978-3-030-12018-4_12

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  • DOI: https://doi.org/10.1007/978-3-030-12018-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12017-7

  • Online ISBN: 978-3-030-12018-4

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