Genetic Algorithm Vector Control of Permanent Magnet Synchronous Motor based on Neuro Space Vector Modulation

Adil Essalmi(1*), Hassan Mahmoudi(2), Abderrahim Bennassar(3), Mohammed Akherraz(4), Ahmed Abbou(5)

(1) Mohammed V University, Mohammadia School of Engineers, Morocco
(2) Mohammed V University, Mohammadia School of Engineers,
(3) Mohammed V University, Mohammadia School of Engineers,
(4) Mohammed V University, Mohammadia School of Engineers,
(5) Mohammed V University, Mohammadia School of Engineers,
(*) Corresponding author


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Abstract


The principal aim of this paper is a study and improves the vector control of a permanent magnet synchronous motor fed by Neuro space vector modulation inverter and using genetic algorithm controller to improve speed, currents and electromagnetic torque by significantly reducing their ripples, which offer an extra advantage of this study. The results so obtained are compared with vector control using Classical PI and Fuzzy logic controller. This comparison is carried out under the same operating conditions (references, loads, disturbances) and in the same configuration of digital simulation (sampling time, duration of simulation).
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Keywords


Permanent Magnet Synchronous Motor (PMSM); Vector Control (VC); Space Vector Modulation (SVM); Neural Network (NN); Genetic Algorithm (GA); Fuzzy Logic Control (FLC)

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References


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