Robotica & Management (Dec 2021)

A Method of Fuzzy Algorithm in Controlling Ball and Beam through Simulation and Experiment

  • Thi-Thuy Hoang,
  • Hoang-Phi-Khoi Nguyen,
  • Tuan Nguyen,
  • Van-Dong-Hai Nguyen,
  • Diep-Thuy-Duong Le,
  • Xuan-Chinh Trinh,
  • Ngoc-Phu Nguyen,
  • Phan-Phuc-Long Nguyen

DOI
https://doi.org/10.24193/rm.2021.2.1
Journal volume & issue
Vol. 26, no. 2
pp. 3 – 8

Abstract

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In this paper, we present a way to create fuzzy controller from LQR method by using ANFIS toolbox of Matlab. First, after proving the ability of stability of this SIMO system under LQR method in Matlab/Simulink, we create a fuzzy controller through ANFIS toolbox of Matlab. The data, which is used to train, is collected from responses of system under LQR controller. Also, we present a hardware platform of ball and beam system. Under this fuzzy controller, control quality of ball and beam is better than under LQR controller in both simulation and experiment.

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