en Converters Converters Research Paper Research Paper <span style="font-size:10pt"><span style="font-family:&quot;Times New Roman&quot;,serif">This paper presents three advanced inductor current control schemes for grid-connected Quasi-Z-Source inverters with LCL filters in wind power applications. The first scheme employs a sliding mode control (SMC)-based controller to regulate inductor current via a shoot-through ratio. The second scheme introduces a fuzzy gain scheduling PID controller (FGS-PID), which replaces the SMC for inductor current regulation. The FGS-PID utilizes fuzzy rule-based reasoning to dynamically adjust PID gains based on the error signal and its derivative, enhancing transient response, reducing oscillations, and ensuring system stability and accuracy. The performance of these controllers is evaluated against a traditional PI controller under identical conditions. Comprehensive simulations on MATLAB/SIMULINK and experimental hardware-in-the-loop (HIL) testing demonstrate &nbsp;that: (i)&nbsp;SMC reduces capacitor voltage ripple to &plusmn;5 V (0.35%)&mdash;a&nbsp;62% improvement&nbsp;over the PI controller (&plusmn;13 V, 0.92%)&mdash;and limits grid current total harmonic distortion (THD) to&nbsp;&le;1.8%; (ii)&nbsp;FGS‑PID achieves intermediate performance (&plusmn;10 V ripple, &le;2.5% THD)&nbsp;with only heuristic tuning; and (iii)&nbsp;SMC maintains stable operation with 31.7% current overshoot&nbsp;during grid fault recovery, compared to&nbsp;41.1% for PI. The results provide valuable insights into the strengths and limitations of each controller, offering a foundation for future advancements in wind power systems.</span></span><br> &nbsp; Quasi Z-Source inverter, Wind energy, Fuzzy PID controller, Sliding mode controller, Hardware-in-the-Loop. 4149 4149 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-448-1&slc_lang=en&sid=1 kazem Mokhtari k.mokhtari666@gmail.com 1800319475328460017941 1800319475328460017941 No Department of Electrical Engineering of K. N. Toosi University of Technology Shokrollah Shokri-Kojori shokri@eetd.kntu.ac.ir 1800319475328460017942 1800319475328460017942 No Department of Electrical Engineering of K. N. Toosi University of Technology Mahdi Aliyari Shoorehdeli aliyari@eetd.kntu.ac.ir 1800319475328460017943 1800319475328460017943 Yes Department of Mechatronics Engineering of K. N. Toosi University of Technology