Extremum-seeking control for steady-state performance optimization of nonlinear plants with time-varying steady-state outputs

L. Hazeleger, M. Haring, Nathan Van De Wouw

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Extremum-seeking control is a useful tool for the steady-state performance optimization of plants for which the dynamics and disturbance situation can be unknown. The case when steady-state plant outputs are constant received a lot of attention, however, in many applications time-varying outputs characterize plant performance. As a result, no static parameter-to-steady-state performance map can be obtained. In this work, an extremum-seeking control method is proposed that uses a so-called dynamic cost function to cope with these time-varying outputs. We show that, under appropriate conditions, the solutions of the extremum-seeking control scheme are uniformly ultimately bounded in view of bounded and time-varying external disturbances, and the region of convergence towards the optimal tunable plant parameters can be made arbitrarily small. Moreover, its working principle is illustrated by means of the performance optimal tuning of a variable-gain controller for a motion control application.

Original languageEnglish
Title of host publicationProceedings 2018 Annual American Control Conference (ACC 2018)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages2990-2995
ISBN (Print)9781538654286
DOIs
Publication statusPublished - 2018
Event2018 Annual American Control Conference - Milwauke, United States
Duration: 27 Jun 201829 Jun 2018

Conference

Conference2018 Annual American Control Conference
Abbreviated titleACC 2018
CountryUnited States
CityMilwauke
Period27/06/1829/06/18

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