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.
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Guermit, H., Kouzi, K. (2019). Investigate the Performance of an Optimized Synergetic Control Approach of Dual Star Induction Motor Fed by Photovoltaic Generator with Fuzzy MPPT. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_33
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DOI: https://doi.org/10.1007/978-3-030-04789-4_33
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