The invention relates to the field of three-level inverters, and particularly discloses a model-free strong-robustness predictive control method and
system for a three-level SNPC
inverter, and the method comprises the steps: carrying out the real-time sampling and coordinate transformation of the
inverter, and obtaining the current and
voltage components under a two-phase static coordinate
system; establishing a hyper-local model, enabling the
system parameter deviation and the external disturbance to be uniformly equivalent to lumped disturbance, and designing a full-order sliding-mode observer for real-
time estimation; calculating a reference
voltage vector based on the disturbance
estimation value and the extrapolated
reference current; and an optimal double-vector combination is selected through
space vector optimization, action time is solved, redundant small vectors are selected according to midpoint
voltage deviation, and PWM driving signals are generated. According to the method, excellent current tracking performance and low
harmonic distortion can still be kept under the conditions of parameter mismatch and working condition change, meanwhile, neutral-point potential balance on the direct-current side is achieved, and the method has the advantages of being small in calculation amount, high in robustness, easy to achieve in
engineering and the like.