Title :
A neuro-fuzzy controller for yo-yo system
Author :
Lee, Seung-Ha ; Shim, Kwang-h ; Bien, Zeungnam
Author_Institution :
Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
Abstract :
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
Keywords :
fuzzy control; intelligent control; neurocontrollers; adaptation features; asymmetric characteristics; fuzzy logic controller; human expertise; intelligent controllers; neuro fuzzy controller; plant parameters; yo-yo system; Artificial intelligence; Control systems; DC motors; Fuzzy logic; Humans; Intelligent networks; Motion control; Nonlinear control systems; Nonlinear dynamical systems; Servomotors;
Conference_Titel :
Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
Conference_Location :
Berkeley, CA
Print_ISBN :
0-7803-3225-3
DOI :
10.1109/NAFIPS.1996.534734
