Adaptive Sliding mode Control based on the Fuzzy Theory for Food Processing Robot

DOI

10.2991/emcs-16.2016.439How to use a DOI?

Keywords

Food processing; Fuzzy theory; Adaptive sliding mode control; Robustness

Abstract

Due to the large consumption and dispersed processing of food, therefore, the study of food processing robots have been widely concerned. The food processing robot control system is susceptible to the extreme dynamic characteristics and the influence of external disturbance parameters. Combining fuzzy theory with sliding mode control, Adaptive sliding mode control is proposed based on the theory of fuzzy, in order to improve control accuracy and stability. The simulation results show that compared with the conventional sliding mode control method, the control is not only the external disturbance and parameter perturbation with stronger adaptability and robustness, but also has fast dynamic response and good tracking performance.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yanni Mao
AU  - Wenshui Xia
PY  - 2016/01
DA  - 2016/01
TI  - Adaptive Sliding mode Control based on the Fuzzy Theory for Food Processing Robot
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1750
EP  - 1754
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.439
DO  - 10.2991/emcs-16.2016.439
ID  - Mao2016/01
ER  -