Comparison between predictive and predictive fuzzy controller for the DC motor via network

Abdallah A. Ahmed*, Yuanqing Xia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In the recent years, a networked control system (NCS) has been broadly employed in control systems due to its cost-effective and flexible structure. The major challenge in networked control systems is the warranty system’s performance in case of network-induced time delays or data losses. This paper presents a comparison between predictive and predictive fuzzy controller for the DC motor via network. The networked predictive control (NPC) and networked predictive fuzzy control (NPFC) strategy are proposed to compensate the random time delay and data packet dropout in forward channel which can effectively achieve desired control performance of networked control systems. Simulation results are presented to demonstrate the proposed performance.

Original languageEnglish
Title of host publicationFoundations and Applications of Intelligent Systems - The Seventh International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012, Proceedings
EditorsFuchun Sun, Hongbo Li, Tianrui Li
PublisherSpringer Verlag
Pages335-346
Number of pages12
ISBN (Electronic)9783642378287
DOIs
Publication statusPublished - 2014
Event7th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012 with 1st International Conference on Cognitive Systems and Information Processing, CSIP 2012 - Beijing, China
Duration: 15 Dec 201217 Dec 2012

Publication series

NameAdvances in Intelligent Systems and Computing
Volume213
ISSN (Print)2194-5357

Conference

Conference7th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012 with 1st International Conference on Cognitive Systems and Information Processing, CSIP 2012
Country/TerritoryChina
CityBeijing
Period15/12/1217/12/12

Keywords

  • DC motor
  • Networked control system
  • Predictive
  • Predictive fuzzy

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