This study develops an adaptive Super-Twisting sliding mode control (STSMC) approach using an output feedback fuzzy neural network (OFFNN) for dynamic systems. The OFFNN approximator is designed to approach the… Click to show full abstract
This study develops an adaptive Super-Twisting sliding mode control (STSMC) approach using an output feedback fuzzy neural network (OFFNN) for dynamic systems. The OFFNN approximator is designed to approach the model uncertainty, and a signal feedback loop could provide better data learning capabilities and more reasonable learning rate, therefore the proposed controller has full regulation and high approximation accuracy. Real-time experimental studies of an active power filter are accomplished to show the proposed controller has better harmonic suppression and steady-state and dynamic property than existing methods.
               
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