Identification and control design of fuzzy takagi-sugeno model for pressure process rig

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1 Citation (Scopus)

Abstract

The design of an intelligent controller based on fuzzy TS model for a pressure process rig is presented. The proposed controller consists of a fuzzy TS model, a feedback fuzzy TS model, and a low pass filter combined in an internal model control structure. The identification of the fuzzy TS model uses fuzzy clustering technique to mimic the nonlinearity characteristic of the process. Instead of least-squares algorithm, the instrumental variable method is used to estimate the consequent parameters of the fuzzy TS model in order to avoid inconsistency problem. The identified model is validated with the performance indicators variance-accounted-for and root mean square. By using the technique of inverse fuzzy model analytically, the feedback fuzzy controller is designed based on the identified fuzzy TS model. The performance of the proposed controller is verified through experiments at various operating points.

Original languageEnglish
Title of host publicationAdvanced Designs and Researches for Manufacturing
Pages1810-1818
Number of pages9
DOIs
Publication statusPublished - 7 Jan 2013
Event2nd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2012 - Guangzhou, China
Duration: 22 Sep 201223 Sep 2012

Publication series

NameAdvanced Materials Research
Volume605-607
ISSN (Print)1022-6680

Conference

Conference2nd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2012
Country/TerritoryChina
CityGuangzhou
Period22/09/1223/09/12

Keywords

  • Fuzzy clustering
  • Fuzzy takagi-sugeno
  • Internal model control
  • Pressure process

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