Dynamic Performance Comparison of LQR and LQI Controllers on Buck Converter


Creative Commons License

Keçecioğlu Ö. F., Gani A., Açıkgöz H., Şekkeli M.

International Congress on Engineering and Architecture, Antalya, Türkiye, 14 - 16 Kasım 2018, ss.1904-1918, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1904-1918
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Kayseri Üniversitesi Adresli: Hayır

Özet

DC-DC converters are electronics elements which change voltage level based on switching.Unlike linear circuit topologies, modeling and control of DC-DC converter circuits are fairly difficult due to their switched structure. The main problems are to model semiconductor switches, to identify various circuit structures and model the converter following an analysis of the states. State-space model and system modeling are effectively used in converter designs.The required transfer function is obtained thanks to a small signal analysis of the system modeled using state-space model at a certain operating point. In optimal controlling methods,the controller parameters based on the transfer function of the controlled system are minimized using a known error criterion. Linear Quadratic Regulator (LQR) controller is one of the most widely used optimal control methods. Linear Quadratic Integral (LQI) controller is obtained by adding integral control to the LQR in order to increase the performance of control system.In this study, the circuit model of an optimal control system was designed in Matlab/Simulink by obtaining the state-space of a buck DC-DC converter using small signal model. The reference voltage and output load of the buck DC-DC converter were varied to compare dynamic performances of LQR and LQI controllers.