Adaptive fuzzy internal model control of thermal heating process

Muhammad Shafiq; Agus R. Widodo

doi:10.1587/elex.1.120

Adaptive fuzzy internal model control of thermal heating process

Muhammad Shafiq, Agus R. Widodo

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	120-125
Number of pages	6
Journal	IEICE Electronics Express
Volume	1
Issue number	6
DOIs	https://doi.org/10.1587/elex.1.120
Publication status	Published - 2004
Externally published	Yes

Keywords

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

ASJC Scopus subject areas

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

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10.1587/elex.1.120

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title = "Adaptive fuzzy internal model control of thermal heating process",

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.",

keywords = "Takagi-Sugeno fuzzy modeling, adaptive inverse control, adaptive tuner, internal model control",

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AU - Widodo, Agus R.

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AB - 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.

KW - Takagi-Sugeno fuzzy modeling

KW - adaptive inverse control

KW - adaptive tuner

KW - internal model control

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IS - 6

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Adaptive fuzzy internal model control of thermal heating process

Abstract

Keywords

ASJC Scopus subject areas

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