Design, simulation and comparative evaluation of both a classic and a fuzzy logic PI controller applied to a DC-DC converter

• Autorzy: Fudoli F. H. , Vechia D. D. , Bonaldo J. P , Bertogna E. G.

Identyfikatory

DOI

10.15199/48.2018.05.05

Warianty tytułu

PL

Projektowanie, symulacja i badania porównawcze właściwości układów sterowania z klasycznym regulatorem typu PI i regulatorem PI zrealizowanym z wykorzystaniem logiki rozmytej

• Języki publikacji: EN

Abstrakty

EN

This paper presents the design, simulation and comparative evaluation of both a classic proportional-integral (PI) controller and a fuzzy logic PI controller applied to the output voltage control of a DC-DC buck converter. The performance comparison was done in terms of overshoot and settling time simulated in Matlab-Simulink. Results demonstrated that the fuzzy logic PI controller has a superior performance compared to the classic PI controller, furthermore the design becomes simpler, since it is not necessary to find the mathematical model of the system to be controlled.

PL

W pracy przedstawiono projektowanie i badania symulacyjne układów sterowania przekształtnika DC-DC opartych na klasycznym regulatorze typu PI i regulatorze PI, zrealizowanym z wykorzystaniem logiki rozmytej. Zarówno projektowanie jak i badania symulacyjne zostały przeprowadzone przy użyciu programu Matlab – Simulink. Uzyskane wyniki wskazuję na lepsze właściwości układu sterowania zrealizowanego w logice rozmytej.

Słowa kluczowe

EN

fuzzy controller; buck converter; PI controller

PL

regulator PI; logika rozmyta; przekształtnik DC/DC typu buck; przekształtnik DC/DC

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2018
• Tom: R. 94, nr 5
• Strony: 27--31
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Fudoli F. H.

• Federal University of Technology Parana, Dept. of Electronics, Via Rosalina Maria dos Santos, 1233, Campo Mourão/PR Brazil

autor

Vechia D. D.

• Federal University of Technology Parana, Dept. of Electronics, Via Rosalina Maria dos Santos, 1233, Campo Mourão/PR Brazil

autor

Bonaldo J. P

• Federal University of Technology Parana, Dept. of Electronics, Via Rosalina Maria dos Santos, 1233, Campo Mourão/PR Brazil

autor

Bertogna E. G.

• Federal University of Technology Parana, Dept. of Electronics, Via Rosalina Maria dos Santos, 1233, Campo Mourão/PR Brazil

Bibliografia

• [1] Ogata, K., Modern Control Engineering (Prentice Hall, New Jersey, USA, 5nd edn. 2010).
• [2] Lilly, J. H., Fuzzy Control and Identification (John Wiley & Sons, Inc, New Jersey, USA, 5nd edn. 2010).
• [3] Dadios, E. P., Fuzzy Logic – Controls, Concepts, Theories and Applications (InTech, Rijeka, Croatia, 2012).
• [4] Dharamniwas, A. A., Redhu V. and Gupta U., Liquid level control by using fuzzy logic controller, International Journal of Advances in Engineering & Technology (IJAET), 2012, 4, (1), pp. 537--549.
• [5] Chabni F. et al., The application of fuzzy control in water tank level using Arduino, International Journal of Advanced Computer Science and Applications (IJACSA), 2016, 7, (4), pp. 261—265.
• [6] Elayan E. A., Design of heuristic fuzzy logic controller for liquid level control, Proc. Fifth International Conference on Intelligent Systems, Modelling and Simulation, Langkawi, Malaysia, 2014, pp. 131--136.
• [7] Deepa P. and Sivakumar R., Synthesis of heuristic control strategies for liquid level control in spherical tank, Proc. 3rd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), Chennai, Tamilnadu, India, February 2017, pp. 316--319.
• [8] Olesiak K., Direct torque control of an induction motor using the fuzzy controller, Przeglad Elektrotechniczny, 12 (2015), 179— 181.
• [9] Boukaka S. et al., FPGA implementation of an adaptive fuzzy logic controller for PMSM, Proc. 7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014), Manchester, UK, April 2014, pp. 1--6.
• [10] Kushwah R. and Wadhwani S., Speed Control of Separately Excited DC Motor Using Fuzzy Logic Controller, International Journal of Engineering Trends and Technology (IJETT), 2013, 4 (6), pp. 2518--2523.
• [11] LiuYang, Xia Mingzi and Zhao Jin., A Novel Adaptive Fuzzy Controller Approach of Brushless DC Motors without Hall and Position Sensors, Przeglad Elektrotechniczny, 12a (2012), 290—294.
• [12] RasemAbuzeid M. and Shtawa N. E., Comparative speed control study using PID and fuzzy logic controller, International Journal of Computer Science and Electronics Engineering (IJCSEE), 2014, 2, (2), pp. 65--68.
• [13] Martínez W. et al. Software simulation of a fuzzy logic controller applied to a hybrid stepper motor, Journal of the Mexican Society of Instrumentation, 1997, 3, (7), pp. 18--24.
• [14] Nabi A., Design of fuzzy logic PD controller for a position control system, International Journal of Engineering and Management Research, 2013, 3, (2), pp. 31--34.
• [15] Kiyak E., Gol G., A comparison of fuzzy logic and PID controller for a single-axis solar tracking system, Renewables: Wind, Water and Solar, 2016, 3, (7), pp. 1--14.
• [16] Chang C. et al. Field programmable gate array implementation of a single-input fuzzy proportional–integral–derivative controller for DC–DC buck converters, IET Power Electron., 2016, 9, (6), pp. 1259–1266.
• [17] Smyej M. and Cheriti A., Fuzzy logic controller for a DC to DC converter, Proc. of the 1999 IEEE Canadian Conference on Electrical and Computer Engineering, Edmonton, Alberta, Canada, May 1999, pp. 1020--1023.
• [18] Hsu C. F. et al., Self-regulating fuzzy control for forward DC– DC converters using an 8-bit microcontroller, IET Power Electron., 2009, 2, (1), pp. 1–13.
• [19] Nik Ismail N.F. et al., Fuzzy logic controller on DC/DC boost converter, Proc. IEEE International Conference on Power and Energy (PECon2010), Kuala Lumpur, Malaysia, Nov 2010, pp. 661--666.
• [20] M. A. A. M. Zainuri et al., Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc–dc converter, IET Renew. Power Gener, 2014, 8, (2), pp. 183–194.
• [21] Ayoby S. M., Zainal Salam Z. and Azli N. A., A new optimum design for a single input fuzzy controller applied to DC to AC converters, Journal of Power Electronics, 2010, 10, (3), pp. 306--312.
• [22] Salam A. A., Mohamed A., Hannan M. A., Shareef H, Managing the Distributed Generation Units in a Microgrid using a FuzzyPI Controller, Przeglad Elektrotechniczny, 10 (2015), 148--153.
• [23] Gomide, F. A. C. and Gudwin, R. R., Modelagem, controle, sistemas e lógica fuzzy, SBA Controle & Automação, 1994, 4, (3), pp. 97--115. [24]Azeem, M. F., Fuzzy Inference System – Theory and Applications (InTech, Rijeka, Croatia, 2012).
• [25] Rashid, M. H., Power electronics handbook: devices, circuits and applications (Academic Press, 2rd edn. 2010).
• [26] Bausiere, R., Labrique, F., Seguier, G., Power Electronic Converters (Springer, New York, USA, 1993).
• [27] Passino, K. M., Yurkovich, S., Fuzzy Control (Addison Wesley Longman, Inc., Menlo park, CA, USA, 1998).
• [28] Cox, E., The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems (Ap Professional, Chestnut Hill, MA, 1994).

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).