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Adaptive stability augmentation

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Author

Summary, in English

Most adaptive controllers do not assume any a priori knowledge about the process to be controlled. In most situations there is, however, some knowledge about the process. This knowledge should be used to improve the performance compared to the “black box” approach of earlier adaptive controllers. The a priori knowledge is in this paper used in the estimation of the process and also in the design of the controller. The use in the design is new compared to earlier approaches. The a priori knowledge is used here to design a nominal controller. The unmodelled part of the process is estimated and an adaptive stability augmentation signal is added to the nominal controller. Different types of a priori knowledge and design methods are discussed and the performances are investigated through analysis and simulation.

Publishing year

1990

Language

English

Pages

699-707

Publication/Series

Automatica

Volume

26

Issue

4

Document type

Journal article

Publisher

Pergamon Press Ltd.

Topic

  • Control Engineering

Keywords

  • Adaptive control
  • a priori knowledge
  • model parameterization

Status

Published

ISBN/ISSN/Other

  • ISSN: 0005-1098