Title :
Stabilization control of ball and beam systems
Author :
Yi, Jianqiang ; YUBAZAKI, Naoyoshi ; Hirota, Kaoru
Author_Institution :
Mycom Inc., Kyoto, Japan
Abstract :
A new fuzzy controller for stabilization control of ball-and-beam systems is proposed based on the SIRM (single-input rule module) dynamically connected fuzzy inference model. The fuzzy controller deals with four input items. Each input item has a SIRM and a dynamic importance degree. By using the SIRMs and the dynamic importance degrees, the fuzzy controller automatically switches the ball position control and the beam angular control according to control situations. Control simulation results show the effectiveness of the fuzzy controller
Keywords :
control system analysis; fuzzy control; fuzzy systems; inference mechanisms; intelligent control; position control; stability; uncertainty handling; SIRM dynamically connected fuzzy inference model; automatic control switching; ball position control; ball-and-beam systems; beam angular control; control simulation; dynamic importance degree; fuzzy controller; input items; single-input rule modules; stabilization control; Angular velocity control; Automatic control; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Position control; Silicon compounds; Switches; System performance;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944418
