Design of ball-beam balance control system using neural-fuzzy algorithm

Author

Tzeng, Huan-Wen ; Hung, Sheng-Kai

Author_Institution

Ind. Educ. Dept., Nat. Taiwan Normal Univ., Taipei, Taiwan

fYear

2009

Firstpage

1221

Lastpage

1225

Abstract

This paper proposes a success control application using a neural-fuzzy system (NFS) algorithm to control the ball-beam balance system, through learning, simulation, and implementation. First, the control system requires control measurement input, enabling it to generate fuzzy control rules automatically, and then the neural-fuzzy system undergoes a series of learning processes to achieve the best simulation results. Finally, the prototype of a control system is realized with good performance.

Keywords

control system synthesis; fuzzy control; fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); learning systems; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; NFS algorithm; automatic fuzzy control rule generation; ball-beam balance control system design; control measurement input; fuzzy set theory; intelligent control; learning process; neural-fuzzy system algorithm; nonlinear dynamical system; Algorithm design and analysis; Automatic control; Biological neural networks; Control systems; Electrical equipment industry; Fuzzy control; Fuzzy logic; Humans; Position measurement; Structural beams;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on

Conference_Location

Jeju Island

ISSN

1098-7584

Print_ISBN

978-1-4244-3596-8

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2009.5277083

Filename

5277083