Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Analysis of PID Control Effect for Nonlinear Systems with Related High Order Bounded Unknown Functions

Authors
Yafei Li, Dingxiong Zhang, YiDong Wang, Hong Wang, Junwei Lei
Corresponding Author
Yafei Li
Available Online April 2016.
DOI
10.2991/ameii-16.2016.296How to use a DOI?
Keywords
Related order, bounded, nonlinearity, stability, numerical simulation
Abstract

According to the nonlinear function of relative power function order, the uncertainty function is classified as one order relatively bounded and two order relative bounded and higher relative bounded situation. Then in view of the above three categories of uncertain nonlinear system, PID control law is designed by choosing Lyapunov function, the stability of the system is analyzed, and the relationship of PID parameters and the system stability is proposed, and also the system anti constant interference ability is studied.

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)

Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.296How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yafei Li
AU  - Dingxiong Zhang
AU  - YiDong Wang
AU  - Hong Wang
AU  - Junwei Lei
PY  - 2016/04
DA  - 2016/04
TI  - Analysis of PID Control Effect for Nonlinear Systems with Related High Order Bounded Unknown Functions
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.296
DO  - 10.2991/ameii-16.2016.296
ID  - Li2016/04
ER  -