An adaptive fuzzy logic controller with self-tuning scaling factors based on neural networks

摘要

Scaling factors tuning is one of the most used method to enhance the performance of a fuzzy logic controller (FLC). In this paper, we bring forward an adaptive FLC with self adjusting scaling factors (SFs) using neural networks (NNs). Definitions of SFs and their effects on the overall performance of an FLC are analyzed. Detailed control scheme, learning mechanism for the NNs and simulation results for typical second-order linear and nonlinear systems are showed.