Fast extremum seeking using multisine dither and online complex curve fitting

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review


Fast online optimization of uncertain Wiener systems using extremum seeking control (ESC) is investigated. Derivative estimation in extremum seeking is herefore described as an online parametric system identification problem. Multisine dithering is applied with frequencies around the first resonance frequency of the system to remove the time scale separation between dither and plant dynamics which is commonly required in ESC. Recursive use of the Fourier transform, over a moving window of historic data, provides a frequency response function estimate of the system's local best linear approximation. Continuous online complex curve fitting is then applied to extrapolate to an estimate of the steady-state response which coincides with the local gradient of the steady-state objective function. An analysis of the closed-loop dynamics is provided. Transient improvements and robustness of the approach against plant variation are demonstrated with a simulation example.
Originele taal-2Engels
TitelIFAC world congress 2020
Aantal pagina's6
StatusGeaccepteerd/In druk - 2020
Evenement21st IFAC World Congress 2020 - Berlin, Duitsland
Duur: 12 jul 202017 jul 2020


Congres21st IFAC World Congress 2020
Internet adres

Vingerafdruk Duik in de onderzoeksthema's van 'Fast extremum seeking using multisine dither and online complex curve fitting'. Samen vormen ze een unieke vingerafdruk.

  • Citeer dit