Two-Wheeled Self-Balancing Robot Systems Using Fuzzy Immune Algorithm

Article Preview

Abstract:

For two-wheeled self-balancing robot nonlinear model uncertainties and other characteristics, the design of fuzzy immune PD controller and a simulation study. The simulation results show that the control system than the conventional fuzzy PD controller with a small overshoot, adjust the time is short, anti-interference ability, etc., applicable to the mathematical model and the parameter change is difficult to determine two-wheeled self-balancing robot control system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 912-914)

Pages:

1037-1040

Citation:

Online since:

April 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] ZHANG Zhi-qiang, Two-wheeled self-balance vehicle based on STM32, Electronic Design Engineering, vol9. 11, pp.103-106, (2007).

Google Scholar

[2] Li Yang, LIANG YI-we. Simulation Research on Self-balanced Two-wheel Vehicle Control Algorithm Based on PID and LQR, MECHANICAL ENGINEERING & AUTOMATION. pp.7-10, (2011).

Google Scholar

[3] Hau-Shiue Juang, Kai-Yew Lum, Design and control of a two-wheel self-balancing robot using the arduino microcontroller board, Control and Automation (ICCA), vol. 1, pp.634-639, (2013).

DOI: 10.1109/icca.2013.6565146

Google Scholar

[4] Jun feng Wu, Wanying Zhan. Design of fuzzy logic controller for two-wheeled self-balancing robot. Strategic Technology (IFOST). Pp. 1266-1270, (2011).

DOI: 10.1109/ifost.2011.6021250

Google Scholar

[5] Jin Kun Liu. Advanced PID control and MATLAB simulation. Beijing: electronic industry press. (2003).

Google Scholar