Adaptive Fuzzy H∞ Robust Control for Manipulators in MIMO Systems
Authors
Xinming Hou, Yanhua Lei, Hongtao Yu, Yan Bao
Corresponding Author
Xinming Hou
Available Online October 2018.
- DOI
- 10.2991/icmcs-18.2018.73How to use a DOI?
- Keywords
- Manipulators; Robust Control; Uncertain Items
- Abstract
An adaptive fuzzy sliding mode robust control algorithm based on fuzzy compensation is proposed for the uncertain items, such as friction, unknown disturbances. An adaptive fuzzy system is used to approximate the unknown nonlinear term, the parameter adaptive law of fuzzy system is designed by using Lyapunov function, eliminating the dependence on prior knowledge, robust control is introduced to eliminate the influence of approximation error and then to keep stabilization, Finally, the effectiveness of the control algorithm is verified by the simulation experiment of the two degree of freedom manipulator.
- Copyright
- © 2018, 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/).
Cite this article
TY - CONF AU - Xinming Hou AU - Yanhua Lei AU - Hongtao Yu AU - Yan Bao PY - 2018/10 DA - 2018/10 TI - Adaptive Fuzzy H∞ Robust Control for Manipulators in MIMO Systems BT - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018) PB - Atlantis Press SP - 361 EP - 364 SN - 2352-538X UR - https://doi.org/10.2991/icmcs-18.2018.73 DO - 10.2991/icmcs-18.2018.73 ID - Hou2018/10 ER -