Adaptive Fuzzy Cerebellar Model Articulation Controller for two-wheeled robot

Jen Yang Chen, Kuei Chih Lin, Pu Sheng Tsai, Chuan-Hsi Liu, Jing Ming Ouyang

研究成果: 雜誌貢獻會議論文同行評審

摘要

In this paper, an adaptive Fuzzy Cerebellar Model Articulation Controller (FCMAC) is proposed to control two-wheeled robot at upright position. The dynamical model of the robot, LEGO Mindstorms NXT, is derived from Lagrange of kinetic and potential energies. Based on the developed model, an adaptive FCMAC is then designed. Adaptation laws are derived from the Lyapunov stability analysis. According to the stability analysis, the developed FCMAC guarantees that the system tracking performance and the error convergence can be assured in the closed-loop system. Finally, to compare the system performances we apply the proposed FCMAC and the PID (Proportional Integral Derivative) controller to balance the two-wheeled robot.

原文英語
頁(從 - 到)1025-1036
頁數12
期刊Advanced Materials Research
482-484
DOIs
出版狀態已發佈 - 2012
事件3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012 - Xiamen, 中国
持續時間: 2012 三月 272012 三月 29

ASJC Scopus subject areas

  • Engineering(all)

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