LAUSR

In this research, an adaptive fuzzy-neural fractional-order current controller using a terminal sliding controller is developed to track ideal current of an active power filter (APF) with limited time control performance. First, an adaptive fractional-order finite-time controller using terminal sliding strategy is put forward to realize high precision and finite-time control properties with guaranteed stable sliding surface. Then a fuzzy-neural estimator is proposed to estimate the unknown APF system nonlinearities. Numerical analysis is provided to prove the validity of the proposed adaptive fuzzy-neural fractional-order terminal sliding controller to track the ideal current and suppress the harmonic distortion.