Conference Proceedings

Fast extremum seeking for optimization of brake specific fuel consumption

J Sharafi, S Hager, WH Moase, P Dennis, MJ Brear, C Manzie

53rd IEEE Conference on Decision and Control | IEEE | Published : 2014

Abstract

© 2014 IEEE. Extremum seeking control is a well-established technique for dealing with the online optimization of unknown dynamic systems. However, in many applications the convergence rate of traditional extremum seeking approaches is a limiting factor, largely arising from the need for full time scale separation between the elements of the closed loop system. Recent theoretical developments have shown that for plants with a Hammerstein structure, it is possible to exploit different tuning regimes for the algorithms, leading to significantly faster convergence speeds. This approach is extended here to a class of Hammerstein-Wiener plants and demonstrated experimentally in a stationary power..

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