A neuro-fuzzy controller for yo-yo system

The yo-yo system has been introduced as an interesting plant to prove the effectiveness of intelligent controllers. Having nonlinear as well as asymmetric characteristics, the plant requires a controller quite different from conventional PID controller. The paper presents a method of controlling the yo-yo plant. A fuzzy logic controller based on human expertise is referred first. Then, a neuro fuzzy controller which has adaptation features against the variation of plant parameters is introduced as well. Finally, experimental results are presented and comparison study between the controllers is also discussed.