Fast extremum seeking on Hammerstein plants: A model-based approach

• Jalil Sharafi ^[1] ; William H. Moase ^[1] ; Chris Manzie ^[1]
  1. [1] The University of Melbourne,Australia
• Localización: Automatica: A journal of IFAC the International Federation of Automatic Control, ISSN 0005-1098, Vol. 59, 2015, págs. 171-181
• Idioma: inglés
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• Resumen

  • Partial plant knowledge may be used to develop model-based extremum seekers; however, existing results rely on a type of time-scale separation which leads to slow optimization relative to the plant dynamics. In this work, a fast model-based extremum seeking scheme is proposed for a Hammerstein plant, and semi-global stability results are provided. The structure of a Hammerstein plant is used to advantage in designing filters that enable the extremum seeker to act on a faster time-scale than the plant dynamics. This leads to fast convergence while maintaining semi-global stability.