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Investigate the Performance of an Optimized Synergetic Control Approach of Dual Star Induction Motor Fed by Photovoltaic Generator with Fuzzy MPPT

  • Hossine Guermit
  • Katia Kouzi
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 62)

Abstract

The aim of this work is to investigate the performance of robust vector control based on synergetic theory of dual star induction motor (DSIM) fed by two inverters coupled in Photovoltaic Generator (PVG). To do this, in first stage in order to improve the performance of vector control of DSIM, we propose a novel control scheme based on synergetic control theory newly integrated in the control of DSIM. The main advantage of synergetic control is fast response, asymptotic stability of the closed-loop system in the all range of admissible operating condition, and robustness of the system to the variation parameter. On the other one, to overcome the problem of synergetic controller parameter tuning, it is proposed in this study, the Particle Swarm Optimization (PSO) algorithm which allow obtaining the optimal parameter of suggested controller and consequently improving the performance of control system. In the second stage, to couple the DSIM to a photovoltaic generator, we have use the model with two exponential models. Then we have presented the control of this latter by an algorithm called MPPT, based on fuzzy logic theory. The obtained simulation results illustrate clearly that the suggested scheme control provides high performance in all range of operating conditions.

Keywords

Dual Star Indication Motor (DSIM) PV generator Fuzzy MPPT Synergistic control PSO Optimization 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Laboratory of Semi-conductors and Functional MaterialsUniversity Amar Telidji LaghouatLaghouatAlgeria

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