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Nagy, A., Marx, B., Mourot, G., Schutz, G. and Ragot, J. (2010) State Estimation of Two-Time Scale Multiple Models with Unmeasurable Premise Variables. Application to Biological Reactors. 49th IEEE Conférences on Décisions and Control, 15-17 December 2010, 5689-5694.

has been cited by the following article:

• TITLE: Robust H∞ Observer-Based Tracking Control for the Photovoltaic Pumping System

  AUTHORS: Iliass Ouachani, Abdelhamid Rabhi, Ahmed El Hajjaji, Belkassem Tidhaf, Smail Zouggar

  KEYWORDS: Photovoltaic, Pumping System, Fuzzy Controller, H∞, Takagi-Sugino (TS) Fuzzy Model, Observer, Stability, Linear Matrix Inequalities (LMIs), Maximum Power Point Tracking (MPPT), Unmeasurable Premise Variables

  JOURNAL NAME: Energy and Power Engineering, Vol.6 No.9, September 10, 2014

  ABSTRACT: In this paper, we propose a H∞ robust observer-based control DC motor based on a photovoltaic pumping system. Maximum power point tracking is achieved via an algorithm using Perturb and Observe method, with array voltage and current being used to generate the reference voltage which should be the PV panel’s operating voltage to get maximum available power. A Takagi-Sugeno (T-S) observer has been proposed and designed with non-measurable premise variables and the conditions of stability are given in terms of Linear Matrix Inequality (LMI). The simulation results show the effectiveness and robustness of the proposed method.