Improved super-twisting fuzzy sliding mode control based on fuel regulator

In this study, we address the flow fluctuations caused by the continuous jittering of the metering valve spool under system perturbations during the operation of the booster fuel regulator. By analyzing the mathematical model of the core metering valve and incorporating a speed-up factor into the super-twisting sliding mode control (STC), the system's tracking speed is significantly enhanced. Fuzzy logic is then introduced to achieve parameter self-adaptation in the improved super-twisting sliding mode controller (FSTC), effectively suppressing the jitter. This results in a stable metering device system, improved tracking speed, and reduced spool position error under perturbations. When compared to conventional sliding mode control (SMC) and unimproved super-twisting sliding mode control, using quasi-impulse, step, and ramp signals as inputs, the results show that FSTC reduces tracking error by an average of 120% under quasi-pulse signals compared to the unimproved STC, and enhances tracking speed by 327.2% under step signals, and the overall result is much better than SMC.