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Optimization of a Photovoltaic Pumping System by Applying Fuzzy Control Type-1 with Adaptive Gain

  • Samia BensmailEmail author
  • Djamila Rekioua
  • Chafiaa Serir
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 62)

Abstract

In this paper a robust intelligent controller based on the theory of fuzzy logic is adopted in order to fulfil maximum power point tracking (MPPT) algorithm for a photovoltaic generator, on the one hand and to control the asynchronous motor used in the photovoltaic pumping system on the other hand. In this context, the modelization and simulation of the various constituents of the installation (photovoltaic cell, converters, asynchronous motor and pump) is done. To follow the point of maximum power, an adaptation stage equipped with an MPPT algorithm is inserted by introducing two fuzzy algorithms (classical and adaptive). In the second part we will be interested in the control of the asynchronous motor by afield oriented control (FOC, using three controllers, the simulation results obtained on Matlab/Simulink, shows the importance of the techniques implemented in particular on the efficiency, robustness and response time.

Keywords

Photovoltaic PV pumping MPPT Fuzzy logic Adaptive fuzzy logic 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Samia Bensmail
    • 1
    Email author
  • Djamila Rekioua
    • 2
  • Chafiaa Serir
    • 2
  1. 1.Electrical Engineering DepartmentUniversity of BouiraBouriaAlgeria
  2. 2.Laboratory LTII, Department of Electrical EngineeringUniversity of BejaiaBéjaïaAlgeria

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