Adaptive control of inverted pendulum using neuro-fuzzy inference
Ravi Chandra Tatikonda, Venkata Praveen Battula, Vishal Kumar · 2010
This paper addresses some of the potential benefits of using ANFIS controller to control an inverted pendulum system. The stages of the development of a controller using a four input Adaptive-neuro fuzzy inference structure(ANFIS) model were presented. The main idea of this paper is to implement and optimized neuro-fuzzy logic control algorithms in order to balance the inverted pendulum and at the same time reducing the computational time of the controller. Simulation results show that the ANFIS Controllers are far more superior compared to PID controllers in terms of overshoot, settling time and response to parameter changes.