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Extremum-seeking control with adaptive excitation: application to a photovoltaic system

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Kebir, Anouer, Woodward, Lyne et Akhrif, Ouassima. 2018. « Extremum-seeking control with adaptive excitation: application to a photovoltaic system ». IEEE Transactions on Industrial Electronics, vol. 65, nº 3. pp. 2507-2517.
Compte des citations dans Scopus : 5.

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Woodward L 2017 15785 Extremum-seeking Control with.pdf - Accepted Version
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Abstract

The objective of this study is to improve the performance of the extremum-seeking control (ESC) technique in terms of time and accuracy of convergence towards the optimum operating point of a dynamic system subject to the effect of external disturbances. More precisely, the idea is to reduce the undesirable effect of time scale separation in ESC on the performance of the closed loop system. The method consists in adaptively controlling the excitation signal amplitude using a neural network (NN) model, which gives a real-time estimate of the optimal operating point based on the measurement of the external disturbances. Stability of the proposed ESC with adaptive excitation, referred to in the following as ESCa, is demonstrated. The superiority of ESCa compared to ESC in terms of accuracy and time of convergence to the optimum is demonstrated both theoretically and experimentally, in the case of the optimization of a photovoltaic panel system (PV).

Item Type: Peer reviewed article published in a journal
Professor:
Professor
Woodward, Lyne
Akhrif, Ouassima
Affiliation: Génie électrique, Génie électrique
Date Deposited: 25 Sep 2017 13:54
Last Modified: 26 Jan 2018 20:52
URI: http://espace2.etsmtl.ca/id/eprint/15785

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