Fractional-Order Model-Free Predictive Control for Voltage Source Inverters

Currently, a two-level voltage source inverter (2L-VSI) is regarded as the cornerstone of modern industrial applications. However, control VSIs challenging task due to their nonlinear and time-varying nature. This paper proposes employing fractional-order controller (FOC) improve performance model-free predictive (MFPC) 2L-VSI in uninterruptible power supply (UPS) In conventional MFPC based on ultra-local model (ULM), unknown variable that includes all system disturbances estimated using algebraic identification, which insufficient prediction accuracy control. The proposed FO-MFPC uses proportional-integral (FOPI) estimate function associated with MFPC. To get best from FOPI, its parameters are optimally designed grey wolf optimization (GWO) approach. number iterations GWO 100, while wolf’s 20. algorithm achieves small fitness value approximately 0.156. addition, nearly finds optimal after 80 for defined objective function. compared three loading cases conditions. Using MATLAB simulations, simulation results indicated superiority over steady state transient responses. Moreover, total harmonic distortion (THD) output at different sampling times proves excellent quality controller. confirm robustness two systems against parameter mismatches. Additionally, TMS320F28379D kit, experimental verification strategy implemented basis Hardware-in-the-Loop (HIL) simulator, demonstrating applicability effective our under realistic circumstances.