Title :
Design of a fuzzy control system for two wheeled inverted
Author :
Gun-oo Jeong ; Jang-Myung Lee
Author_Institution :
Dept. of Electrics Eng., Pusan Nat. Univ., Busan, South Korea
Abstract :
In this paper, a control system for two wheeled inverted pendulum robot is designed to have more stable balancing capability than conventional control system. Fuzzy control system is selected for the two wheeled inverted pendulum mobile robot, and fuzzy membership function factors for the control system are obtained for specified 3 users´ weights using trial-and-error method. Next a neural network is employed to generate fuzzy membership function factors for more stable control performance when the user´s weight is arbitrarily selected. Through the simulation study, we find that the designed fuzzy controller using the neural network is better than the conventional fuzzy controller.
Keywords :
control system synthesis; fuzzy control; mobile robots; neurocontrollers; nonlinear control systems; stability; fuzzy control system design; fuzzy membership function factors; neural network; stable balancing capability; stable control performance; trial-and-error method; two wheeled inverted pendulum mobile robot; Robots; Fuzzy; Inverted pendulum; Neural network;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4673-3111-1
Electronic_ISBN :
978-1-4673-3110-4
DOI :
10.1109/URAI.2012.6463039