Title :
Design of fuzzy logic controller for two-wheeled self-balancing robot
Author :
Junfeng Wu ; Wanying Zhang
Author_Institution :
Coll. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
Two-wheeled self-balancing robot is a high order, multiple-variables, non-linear, strong coupling, and instability system. On the basis of building up the system structure model, kinetic equation is built up by using Newton dynamics mechanics theory. After that, the pole placement state-feedback controller and fuzzy logic controller are both designed, both of which have good simulation curves at the same disturbance force. Finally, some simulation experiments be done in the undisturbed and disturbed environment respectively. The simulation results indicate that the fuzzy logic control algorithm can realize the self-balance control of the two-wheeled robot successfully and restrain the robot from falling down, so as to satisfy the anticipated control goals of the robot and obtain the better dynamic performance, so it has the better theory value and the applied research value.
Keywords :
fuzzy control; mobile robots; pole assignment; robot dynamics; self-adjusting systems; stability; state feedback; wheels; Newton dynamics mechanics theory; fuzzy logic controller design; kinetic equation; pole placement state-feedback controller; two-wheeled self-balancing robot; Digital signal processing; Robots; Robustness; control theory; fuzzy control; pole placement; two-wheeled self-balancing robot;
Conference_Titel :
Strategic Technology (IFOST), 2011 6th International Forum on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-4577-0398-0
DOI :
10.1109/IFOST.2011.6021250