A comparison study of some control methods for delta spatial parallel robot

Authors

  • Nguyen Van Khang Department of Applied Mechanics, School of Mechanical Engineering, Hanoi University of Science and Technology
  • Nguyen Quang Hoang Department of Applied Mechanics, School of Mechanical Engineering, Hanoi University of Science and Technology
  • Nguyen Duc Sang Department of Applied Mechanics, School of Mechanical Engineering, Hanoi University of Science and Technology
  • Nguyen Dinh Dung Phuong Dong University

DOI:

https://doi.org/10.15625/1813-9663/31/1/5088

Keywords:

Delta parallel robot, computed-torque control, sliding mode control, neural network control.

Abstract

A comparison between three methods applied to parallel robot control namely: computed torque controller, sliding mode control and sliding mode control using neural networks is presented in this paper. The simulation results show that PD control method is only accurate when model parameters are precisely identified. In case of uncertain parameters, sliding mode and neural network sliding mode control methods are applied instead. Three controllers are implemented in Matlab for simulation. The results show that the control quality is improved by using the neural network sliding mode control method in comparison with two others.

 

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Published

2015-03-16

How to Cite

[1]
N. V. Khang, N. Q. Hoang, N. D. Sang, and N. D. Dung, “A comparison study of some control methods for delta spatial parallel robot”, JCC, vol. 31, no. 1, pp. 71–81, Mar. 2015.

Issue

Section

Cybernetics