Affiliation:
1. Ming Chuan University
2. Department of Electrical Engineering, National I-Lan University
3. Department of Electronic Engineering, China University of Science and Technology
4. National Taipei University of Technology
Abstract
An indirect adaptive fuzzy controller is proposed to control the LEGO Mindstorms NXT Two-Wheeled robot in this paper. The dynamical model of the robot, LEGO Mindstorms NXT, is derived from Lagrange of kinetic and potential energies. Based on the developed model, two fuzzy systems are first used to approximate the grey functions in the developed model, and then the adaptive fuzzy controller is designed. Adaptation laws for the above fuzzy systems are derived from the Lyapunov stability analysis. According to the stability analysis, the developed control system guarantees that the system tracking performance and the error convergence can be assured in the closed-loop system. Finally, we apply the proposed fuzzy controller to balance the LEGO Mindstorms NXT two-wheeled robot.
Publisher
Trans Tech Publications, Ltd.
Reference16 articles.
1. J. Cai and X. Ruan, Self-organization stochastic fuzzy control based on OCPFA and applied on self-balanced robot, 8th World Congress on Intelligent Control and Automation, pp.4775-4780, (2010).
2. N. M. Abdul Ghani, N. I. Mat Yatim, N. A. Azmi, Comparative assessment for two wheels inverted pendulum mobile robot using robust control, Interntional Conference on Control, Automation and System, pp.562-567, (2010).
3. S. Jun and W. Minglun, Modeling and Simulation for Self-Balance System, International Conference on Digital Manufacturing and Automation, pp.951-955, (2010).
4. W. Junfeng and Z. Wanying, Research on Control Method of Two-wheeled Self-balancing Robot, International Conference on Intelligent Computation Technology and Automation, pp.476-479, (2011).
5. J. Zhao and X. Ruan, The LQR control and design of dual-wheel upright self-balance Robot, World Congress on Intelligent Control and Automation, pp.4864-4869, (2008).