Title :
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
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;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277083
