An intelligent ANFIS controller design for a mobile robot

Abstract

This paper used Adaptive Neural Fuzzy Inference System(ANFIS) to enhance performance on the movement of a mobile robot. The traditional PID and Fuzzy controller cannot satisfy our desired output. Owing to ANFIS can execute intelligent self-learning to advance the efficacy of Fuzzy controller. Therefore, we utilized ANFIS controller with traditional PID controller to show that the performance of a mobile robot can be much improved. The proposed intelligent control enhances the dynamic response of mobile robot while avoiding obstacle.