doi: 10.7763/IJET.2011.V3.204
Fuzzy Immune Control Based Smith Predictor for Networked Control Systems
Haitao Zhang
,
Zhen Li
- the Electronic and Information Engineering College, Henan University of Science and Technology, Luoyang, China
Abstract
According to the fact that network is a class of discrete event system. Discrete-event simulation tool Sim Events is used to build network dynamic model so as to simulate network-induced delay and packet dropout in networked control systems. The concept of round trip time is introduced to estimate network-induced delay, which is compensated by Smith compensator. By using the control algorithm composed of immune feedback control and PI control, we achieved the goal of overcoming control deviation caused by changes of object model. The simulation results illustrate that the fuzzy immune PI control based Smith predictor provides better performance.
Keywords
- networked control systems
- Sim Events
- Smith compensator
- fuzzy immune PI control
How to Cite
Haitao Zhang and Zhen Li, "Fuzzy Immune Control Based Smith Predictor for Networked Control Systems," International Journal of Engineering and Technology, vol. 3, no. 1, pp. 81-84, 2011. https://doi.org/ 10.7763/IJET.2011.V3.204
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).