Comparison of Different Controllers and Stability Analysis for Photovoltaic Powered Buck-Boost DC-DC Converter

Sahin M. E., OKUMUŞ H. İ.

ELECTRIC POWER COMPONENTS AND SYSTEMS, cilt.46, sa.2, ss.149-161, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 2
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1080/15325008.2018.1436617
  • Dergi Adı: ELECTRIC POWER COMPONENTS AND SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.149-161
  • Anahtar Kelimeler: DC-DC power conversion, buck-boost converter, digital signal processors, fuzzy logic controller, proportional integral controller, sliding mode controller, MATLAB software, PV array design, renewable energy applications, stability and small signal analyses, SYSTEMS, GENERATOR, DESIGN, ISSUES, INPUT
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this study, proportional integral (PI), fuzzy logic (FL), and sliding mode (SM) control of DC-DC buck-boost converter are presented. The obtained results were compared for these controller methods. The converter system, which is powered by photovoltaic (PV) modules, was simulated using the MATLAB/Simulink software. The sliding mode controller in which the inductance current and the output voltage are used as controller variables was tested and the results are compared with the results obtained by the fuzzy logic controller and proportional integral controller. The small signal analysis of the DC-DC buck boost converter has been conducted for the stability analysis of the designed system. Bode phase and magnitude diagrams are plotted for different duty ratios. The performance of the converter has been analyzed in detail for different photovoltaic conditions. The converter has been simulated for controllers and PV module using different parameters and the effects have been observed by the results. The converter experimental setup was implemented and the results were repeated. A digital signal processor (DSP) was used for the experimental study for faster processing. The experimental results were found to be compatible with the simulation results.