Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

PLoS One. 2017 Aug 10;12(8):e0182916. doi: 10.1371/journal.pone.0182916. eCollection 2017.

Abstract

In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with adaptive step is adopted to track the maximum power point (MPP) by controlling the duty cycle of the controllable power switch of the boost DC-DC converter. An adaptive fuzzy sliding mode controller with an integral sliding surface is developed for the grid-connected inverter where a fuzzy system is used to approach the upper bound of the system nonlinearities. The proposed strategy has strong robustness for the sliding mode control can be designed independently and disturbances can be adaptively compensated. Simulation results of a PV grid-connected system verify the effectiveness of the proposed method, demonstrating the satisfactory robustness and performance.

MeSH terms

  • Algorithms
  • Computer Simulation
  • Electric Conductivity
  • Electric Power Supplies*
  • Fuzzy Logic*
  • Nonlinear Dynamics

Grants and funding

This work is partially supported by National Science Foundation of China under Grant No. 61374100; Natural Science Foundation of Jiangsu Province under Grant No. BK20171198; the Fundamental Research Funds for the Central Universities under Grant No. 2017B05014. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.