Self-Organizing Chebyshev Fuzzy Neural Network Integral Terminal Sliding Mode Control of Active Power Filter

For active power filter systems, an adaptive nonsingular fast integral terminal sliding mode controller (ANFITSMC) combined with a novel self-organizing Chebyshev fuzzy neural network (SCFNN) is designed in this paper. The Chebyshev component of the designed neural network can map the input signal to high dimensions to improve the recognition ability. The brand new self-organizing strategy can dynamically adjust the complexity of the network structure according to network operating conditions, taking into account both efficiency and computational complexity. At the same time, when the structure is stable, the network parameters can be self-adjusted. Moreover, the introduction of the integral terminal sliding mode control can avoid the singularity problem while retaining the advantages of traditional terminal finite time convergence. A non-singular fast integrating terminal sliding mode control (NFITSMC) can improve the convergence speed. SCFNN is utilized to estimate an uncertain system model containing comprehensive disturbances, which relaxes the controller's requirements for deterministic equations. In the simulation experiment, during steady-state response, the designed controller achieved the THD of 2.20%. Comparing the adaptive sliding mode control (ASMC) and the self-organizing Chebyshev fuzzy neural network adaptive non-singular terminal sliding mode control (SCFNN AFITSMC), reductions of 0.46% and 0.11% in THD were observed, respectively. Furthermore, the THD fluctuations were smaller during load variations, indicating higher robustness. Experimental tests also demonstrated that the proposed method achieved a THD of 4.44%, surpassing ASMC (5.40%) and FNNASMC-SFR based on LESO (4.64%). Additionally, load fluctuations were minimized. Through simulation and experimental testing, the superiority of this method was verified, showcasing its ability to harness the exceptional compensation performance of the APF system.