Autors: Ahmed, S. A., Taneva, A. M., Petrov, M. G., Ganchev, I. K.
Title: SELF-TUNING FUZZY PID: REAL TIME CONTROL APPLICATIONS
Keywords: Fuzzy PID controller, Self-Tuning PID, Real Time Application

Abstract: This paper presents a neuro-fuzzy structure of a Fuzzy PID controller with self-tuning parameters. The main advantage here is that the equation of classical PID control low is used as a Sugeno function into the fuzzy rules. Hence the designed fuzzy PID controller can be viewed as a natural similarity to the conventional PID controller. Previously achieved a good simulation performance of the presented Fuzzy PID controller is tested now in real time applications. Two implementations of the controller for real time temperature and level control processes are examined. Real time applications are carried out via the Real-Time Workshop of Matlab.

References

  1. Petrov, M, Ganchev, I., Taneva, A., 2002, Fuzzy PID Control of Nonlinear Plants, Preprints of the International Summer School on Automation'2002, Split, Croatia, 16-29 June 2002, <Croatia>,
  2. Taneva, A., Petrov, M, Ganchev, I., 2006, Modified Fuzzy PID Control Algorithms for Nonlinear Process Control. Proceedings of the International Conference 'ISAC 2006' on " Modern Trends in Control", Kosice, Slovakia, 15-30 June 2006, <Slovakia>,
  3. Petrov, M.,Ganchev, I., Kutryanski, K., 2000, A Study of the Fuzzy PID Controller, Preprints of the International Summer School on Artificial Intelligence in Control and Measurement,Brno, Czech Republic, Brno, Czech Republic, 21-31 August 2000, <Czech Republic>,
  4. Petrov, M., Proychev, Т., Topalov, А., 1997, An Adaptive Hybrid Fuzzy - Neural Controller. Prepr. of 2nd IFAC Workshop on New Trends in Design of Control Systems, Smolenice, Slovakia, 7-10 September 1997, <Slovakia>,
  5. Gomi, H., Kawato, M., 1993, Neural Network Control for a Closed–Loop System Using Feedback–Error–Learning, Neural Networks, Volume 6(7), pp. 933–946
  6. Astrom, K.,Witenmark, B., 1997, Computer Controlled Systems, 3rd ed., USA, Prentice Hall
  7. Takagi, H., Sugeno, M., 1985, Fuzzy Identification of Systems and its Applications to Modeling and Control, IEEE Trans. on Systems, Man., and Cybern., Volume 15(1), pp. 116-132
  8. Dabney, J. B., Harman, T. L., 2004, Mastering Simulink, USA, Prentice Hall
  9. Inteco, 2006, RT-CON professional User’s Manual, e-book, Krakow, Poland, Inteco, <http://www.inteco.com.pl/wp-content/uploads/2014/05/RTDAC_USB2.pdf>, Дата на последен преглед (Last accessed on): 14.05.2013

Issue

International Conference Automatics and Informatics’2013, pp. I-79-I-82, 2013, Bulgaria, ISSN 1313-1850

Copyright Съюз по автоматика и информатикa (САИ), „Джон Атанасов”

Full text of the publication

Вид: публикация в национален форум с межд. уч.