Identifying parameters for cart and pole system

Authors

  • Van Dong Hai Nguyen Ho Chi Minh City University of Technology and Education, Vietnam
  • Ngoc Van Hoang Ho Chi Minh City University of Technology and Education, Vietnam
  • Minh Tam Nguyen Ho Chi Minh City University of Technology and Education, Vietnam
  • Thi Yen Tuyet Nguyen Ho Chi Minh City University of Technology and Education, Vietnam
  • Phong Luu Nguyen Ho Chi Minh City University of Technology and Education, Vietnam

Corressponding author's email:

luunp@hcmute.edu.vn

Keywords:

Inverted Pendulum, Optimal control, LQR, Matlab, Simulink, identify, genetic algorithm

Abstract

The aim of this paper is to use genetic algorithm to identify parameters of a nonlinear balancing system. In this case, single-linked inverted pendulum was chosen. With identified parameters of nonlinear model, a LQR controller was designed to prove that parameters were identified well. Results which were operated in Matlab/ Simulink environment showed that identifying process was good.

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References

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Published

28-06-2016

How to Cite

[1]
V. D. H. Nguyen, N. V. Hoang, M. T. . Nguyen, T. Y. T. Nguyen, and P. L. Nguyen, “Identifying parameters for cart and pole system”, JTE, vol. 11, no. 2, pp. 12–17, Jun. 2016.

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