Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Design of Fuzzy Self - tuning PID Controller for Master-Slave Manipulator Force Sensing System

Authors
Xiaodong Liang, Zhongkai Chen, Ye Sun, Hongbo Liao
Corresponding Author
Xiaodong Liang
Available Online June 2017.
DOI
https://doi.org/10.2991/icmia-17.2017.97How to use a DOI?
Keywords
master-slave manipulator force sensing system; fuzzy self-tuning PID controller; matlab/simulink
Abstract
For the problems about large disturbances, delays and nonlinear of master-slave manipulator force sensing system, the paper designed a fuzzy self-tuning PID controller and carried out simulation analysis by matlab/simulink. The result showed that the designed controller can effectively improve the dynamic and steady state of the force control system.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-17.2017.97How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaodong Liang
AU  - Zhongkai Chen
AU  - Ye Sun
AU  - Hongbo Liao
PY  - 2017/06
DA  - 2017/06
TI  - Design of Fuzzy Self - tuning PID Controller for Master-Slave Manipulator Force Sensing System
PB  - Atlantis Press
SP  - 556
EP  - 562
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.97
DO  - https://doi.org/10.2991/icmia-17.2017.97
ID  - Liang2017/06
ER  -