Comparative Analysis Between Fuzzy Logic Control, LQR Control with Kalman Filter and PID Control for a Two Wheeled Inverted Pendulum-Reference-Cited by-同舟云学术

Comparative Analysis Between Fuzzy Logic Control, LQR Control with Kalman Filter and PID Control for a Two Wheeled Inverted Pendulum

Published:2017 Issue: Volume: Page:144-156
ISSN:2367-3370
Container-title:Advances in Automation and Robotics Research in Latin America
language:
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Author:

Chate García Karen Viviana,Prado Ramírez Oscar Eduardo,Rengifo Rodas Carlos Felipe

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-54377-2_13

Reference21 articles.

1. Akeson, J., Blomdell, A., Braun, R.: Design and control of yaip- an inverted pendulum on two wheels robot. In: Proceedings of the 2006 IEEE International Conference on Control Applications, Munich, October 2006

2. Astrom, K.J., Hagglund, T.: Control PID Avanzado. Pearson Prentice Hall, Upper Saddle River (2009)

3. Azimi, M., Koofigar, H.: Model predictive control for a two wheeled self balancing robot. In: Proceeding of the lnternational Conference on Robotics and Mechatronics (RSIIISM), Tehran, February 2013

4. Bature, A.A., Buyamin, S., Ahmad, M.N., Muhammad, M.: A comparison of controllers for ballancing two wheeled inverted pendulum robot. Int. J. Mech. Mechatron. Eng. IJMME - IJENS 14(3), 62–68 (2014)

5. Brisilla, R.M., Sankaranarayanan, V.: Nonlinear control of mobile inverted pendulum. Rob. Auton. Syst. 70, 145–155 (2015)

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