Model reference adaptive control and adaptive stability augmentation

Arne Henningsen; Ole Ravn

Model reference adaptive control and adaptive stability augmentation

Arne Henningsen, Ole Ravn

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

A comparison of the standard concepts in MRAC design suggests that a combination of the implicit and the explicit design techniques may lead to an improvement of the overall system performance in the presence of unmodelled dynamics. Using the ideas of adaptive stability augmentation a combined stability augmented model reference design is proposed. By utilizing the closed-loop control error, a simple auxiliary controller is tuned, using a normalized MIT rule for the parameter adjustment. The MIT adjustment is protected against the effects of unmodelled dynamics by lowpass filtering of the gradient. The proposed method is verified through simulation results indicating that the method may lead to an improvement of the model reference controller in the presence of unmodelled dynamics

Original language	English
Title of host publication	Adaptive Systems in Control and Signal Processing 1992. Selected Papers from the 4th IFAC Symposium
Publication date	1993
Pages	209-214
Publication status	Published - 1993
Event	4th IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992 - Grenoble, France Duration: 1 Jul 1992 → 3 Jul 1992 Conference number: 4 https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/25/issue/14

Conference

Conference	4th IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992
Number	4
Country/Territory	France
City	Grenoble
Period	01/07/1992 → 03/07/1992
Internet address	https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/25/issue/14

Keywords

closed loop systems

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title = "Model reference adaptive control and adaptive stability augmentation",

abstract = "A comparison of the standard concepts in MRAC design suggests that a combination of the implicit and the explicit design techniques may lead to an improvement of the overall system performance in the presence of unmodelled dynamics. Using the ideas of adaptive stability augmentation a combined stability augmented model reference design is proposed. By utilizing the closed-loop control error, a simple auxiliary controller is tuned, using a normalized MIT rule for the parameter adjustment. The MIT adjustment is protected against the effects of unmodelled dynamics by lowpass filtering of the gradient. The proposed method is verified through simulation results indicating that the method may lead to an improvement of the model reference controller in the presence of unmodelled dynamics",

keywords = "closed loop systems, stability, control system synthesis, model reference adaptive control systems",

author = "Arne Henningsen and Ole Ravn",

year = "1993",

language = "English",

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booktitle = "Adaptive Systems in Control and Signal Processing 1992. Selected Papers from the 4th IFAC Symposium",

note = "4th IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992, ASCSP 1992 ; Conference date: 01-07-1992 Through 03-07-1992",

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AU - Henningsen, Arne

AU - Ravn, Ole

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AB - A comparison of the standard concepts in MRAC design suggests that a combination of the implicit and the explicit design techniques may lead to an improvement of the overall system performance in the presence of unmodelled dynamics. Using the ideas of adaptive stability augmentation a combined stability augmented model reference design is proposed. By utilizing the closed-loop control error, a simple auxiliary controller is tuned, using a normalized MIT rule for the parameter adjustment. The MIT adjustment is protected against the effects of unmodelled dynamics by lowpass filtering of the gradient. The proposed method is verified through simulation results indicating that the method may lead to an improvement of the model reference controller in the presence of unmodelled dynamics

KW - closed loop systems

KW - stability

KW - control system synthesis

KW - model reference adaptive control systems

M3 - Article in proceedings

SP - 209

EP - 214

BT - Adaptive Systems in Control and Signal Processing 1992. Selected Papers from the 4th IFAC Symposium

T2 - 4th IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992

Y2 - 1 July 1992 through 3 July 1992

ER -

Model reference adaptive control and adaptive stability augmentation

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