Title :
Implementation of human conveyance vehicle using model-free AORCMAC control strategy
Author :
Chiu, Chih Hui ; Chang, Chun Chieh ; Peng, Ya Fu
Author_Institution :
Dept. of Electr. Eng., Yuan-Ze Univ., Chungli, Taiwan
Abstract :
In this study, an adaptive output recurrent cerebellar model articulation controller (AORCMAC) is proposed for a human conveyance vehicle (HCV) control problem. A mechatronic system structure of the two wheels vehicle driven by two dc motors is briefly described. The main purpose of this paper is to develop a self-dynamic balancing and motion control strategy. Variable learning-rates for analytically determining the stability of a wheeled HCV system are established. Finally, experimental results show that the proposed model-free AORCMAC can control the whole system very well.
Keywords :
adaptive control; cerebellar model arithmetic computers; motion control; neurocontrollers; self-adjusting systems; stability; vehicles; HCV control problem; adaptive output recurrent cerebellar model articulation controller; human conveyance vehicle control problem; mechatronic system; model-free AORCMAC control strategy; motion control strategy; self-dynamic balancing strategy; two-wheeled mobile vehicle; variable learning rates; wheeled HCV system stability; Adaptation models; Control systems; Convergence; DC motors; Humans; Vehicle dynamics; Vehicles; adaptive output recurrent cerebellar model articulation controller; human conveyance vehicle; model-free control;
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
DOI :
10.1109/IJCNN.2012.6252451