Adaptive Fuzzy Neural Network Harmonic Control with a Super-Twisting Sliding Mode Approach

This paper designed an adaptive super-twisting sliding mode control (STSMC) scheme based on output feedback fuzzy neural network (OFFNN) for active power filter (APF), aiming at tracking compensation current quickly and precisely, solving the harmonic problem in electrical grid. With use of OFFNN approximator, proposed controller has characteristic full regulation high approximation accuracy, where parameters can be adjusted to optimal values adaptively, thereby increasing versatility method. Moreover, due added signal loop, obtain more information track state variable faster correctly. Simulations studies are given demonstrate performance suppression, verify its better steady-state dynamic performance.