A novel DC drive based on fuzzy logic inverse plant model optimised by ANFIS

Abstract

In this work a direct current (DC) drive based on the fuzzy logic (Sugeno type) inverse plant model optimised by adaptive neuro-fuzzy inference system (ANFIS) is presented. A control system simulation formed by the fuzzy logic plant model and the fuzzy logic inverse plant model was generated. Programming the inverse plant model into a microcontroller and substituting the plant model by the real DC motor, an open-loop speed control prototype was tested and the simulation and experimental results are included to validate the theory presented in this paper.