Adaptive fuzzy internal model control of thermal heating process

Muhammad Shafiq, Agus R. Widodo

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

An adaptive fuzzy internal model control (IMC) scheme is proposed to control nonlinear systems with inherent time delay. A Takagi-Sugeno (TS) fuzzy modeling with adaptive tuner is used to obtain the plant model. TS model is obtained using experimental data of step responses at different input levels and the model accuracy is improved using the normalized least mean squares (nLMS) based online adaptive tuner. Adaptive inverse of the plant is established using adaptive inverse control scheme on TS model with adaptive tuner. The scheme is implemented on a laboratory scale heating process. The experimental results indicate that the heating process output tracks the reference signal.

Original languageEnglish
Pages (from-to)120-125
Number of pages6
JournalIEICE Electronics Express
Volume1
Issue number6
DOIs
Publication statusPublished - 2004

Fingerprint

Industrial heating
heating
Nonlinear control systems
Step response
nonlinear systems
Time delay
time lag
Hot Temperature
output

Keywords

  • adaptive inverse control
  • adaptive tuner
  • internal model control
  • Takagi-Sugeno fuzzy modeling

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

Adaptive fuzzy internal model control of thermal heating process. / Shafiq, Muhammad; Widodo, Agus R.

In: IEICE Electronics Express, Vol. 1, No. 6, 2004, p. 120-125.

Research output: Contribution to journalArticle

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