GA-BASED FUZZY LOGIC CONTROLLER WITH BOOSTER TYPE DC-DC CONVERTER

Yıl 2018, Cilt: 13 Sayı: 1, 34 - 43, 20.01.2018

Ömür Akyazı

Öz

In this study,
a booster–type DC-DC converter is designed by Matlab/Simulink Environment and an
output voltage control has been analyzed for different load conditions. The
designed DC-DC converter is controlled for different scenarios such as variable
input-constant output voltage and constant input-variable output voltage
references. The converter controller performance is observed with using
classical Proportional+Integral (PI) controller and Fuzzy Logic Controller
(FLC). On the other hand, the controller parameters are determined by employing
Genetic Algorithm (GA) according to Integral of the Time weighted Absolute Error
(ITAE) to improve the controller performance. Thus, more efficient and
intelligent controllers are obtained for the DC-DC converter system. The system
simulation is realized by the Matlab/Simulink and results are compared with
each other. 

Anahtar Kelimeler

PI, ITAE, Booster Type DC-DC Converter, FLC, Genetic Algorithm

Kaynakça

• 1. Vidal-Idiarte, E., Carrejo, C.E., Calvente, J., and Martinez-Salamero, L., (2011). Two-loop Digital Sliding Mode Control of DC-DC Power Converters Based on Predictive Interpolation, IEEE Trans. Ind. Electro. , Vol:58, No:6, pp:2491–2501.
• 2. Oucheriah, Q. and Guo, L., (2013). The PWM-Based Adaptive Sliding-Mode Control for Boost DC-DC Converters, IEEE Transactions on Industrial Electronics, Vol:60, No:8, pp:3291-3294.
• 3. Bodur, H., (2012). Power Electronics 2. Edition, Istanbul: Birsen Publishing House.
• 4. Assistant, O., (2008). Power Electronics 2. Edition, Istanbul: Birsen Publishing House.
• 5. Sesli, E., (2012). Input Voltage and Variable Load DC/DC Step up Controller Control, Thesis, Trabzon: Black Sea Technical University, Institute of Science and Engineering.
• 6. Elshaer, M. and Mohamed, A., (2010). Smart Optimal Control of DC-DC Boost Converter in PV Systems, Transmission and Distribution Conference and Exposition, pp:403-410.
• 7. Masri, Q. and Chan, P.W., (2010). Development of a Microcontroller-Based Boost Converter for Photovoltaic System, European Journal of Scientific Research, Vol:41 No:1, pp:38-47.
• 8. Akyazi, O., (2017). PSO–Based Fuzzy Logic Design Control for a DC/DC Boost Converter, Mugla Journal of Science and Technology, Vol:3, No:1, pp:58-63.
• 9. Sahin, E., Ayas, M.S., and Altas, I.H., (2014). A PSO–Optimized Fractional Order PID Controller for a PV System with DC-DC Boost Converter, 16th International Power Electronics and Motion Control Conference and Exposition, pp:477-481. 10. Zadeh, L.A., (1965). Fuzzy Sets, Information and Control, Vol:8, No:3, pp:338-353.
• 11. Zadeh, L.A., (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes, IEEE Transactions on Systems Man and Cybernetics, Vol:3, No:1, pp:28-44.
• 12. Atlas, I.H. and Sharaf, A.M., (2007). A Photovoltaic Array Simulation Model for Matlab-Simulink GUI Environment, International Conference on Clean Electrical Power ICCEP, 07, pp:341-345.
• 13. Akyazi, O., Usta, M.A., and Akpinar, A.S., (2012). A Self-Tuning Fuzzy logic Controller or Aircraft Roll Control System, International Journal of Control Science and Engineering, Vol:2, No:6, pp:181-188.
• 14. Okumus, H.I., Sahin, E., and Akyazi, O., (2013). Antenna Azimuth Position Control with Fuzzy Logic and Self-Tuning Fuzzy Logic Controllers, 8th International Conference on Electrical and Electronics Engineering (ELECO), pp:477-481.
• 15. Nabiyev, V.V., (2005). Artificial Intelligence (Problems-Methods-Algorithm), Ankara: Seckin Publishing.
• 16. Akyazi, O., (2016). GA–Based Optimal Fuzzy Logic Controller Design for DC/AC Converter Control, TOK 16 Automatic Control Turkish National Committee Automatic Control National Meeting, pp:458-462.
• 17. Karaoglan, O.G., (2007). For Systems with Fuzzy PID Controllers Using Genetic Algorithms–Assisted Regulation for Fuzzy PID Controllers of the Control Systems," Master Thesis”, ITU Institute of Science.
• 18. Mitchell, M., (1998). An Introduction to Genetic Algorithms, MIT Press, Fifth Edition.