The double star synchronous machine (DSSM) is widely used for high power traction drives. It possesses several advantages over the conventional three phase machine. To reduce the torque ripple the DSSM are supplied with source voltage inverter (VSI). The model of the system DSSM-VSI is high order, multivariable and nonlinear. Further, big harmonic currents are generated. The aim of this paper is to develop a new direct torque adaptive fuzzy logic control in order to control DSSM and minimize the harmonics currents. Simulations results are given to show the effectiveness of our approach.
In this work, the direct torque control (DTC) is applied to the five-phase permanent magnet synchronous motor (FP-PMSM). The DTC method based on classical space vector pulse width modulation (SVPWM) is a common solution used to overcome traditional problems; such as stator flux ripple, electromagnetic torque ripple and gives more total harmonic distortion (THD) of the stator current. The actual paper is based on improving the performance of DTC-SVPWM by using the feedforward neural networks (FNNs) instead of the proportional-integral (PI) regulators and hysteresis comparators (HCs) of the conventional SVPWM strategy. This algorithm can solve the traditional PI regulators and HCs problems which are represented in responses dynamic and reduce the torque ripple, flux ripple, and the THD of stator current of FP-PMSM drives. The proposed strategy was tested in different tests with simulation using Matlab software.
In this paper, a direct torque control (DTC) is developed for a two series connected six-phase & three-phase motor drive (IMs) with sinusoidal distributed windings and fed by single six-phase voltage source inverter (VSI). Direct torque control also considered as a variable structure control strategy with simplicity, fast response and tolerance to motor parameter variations; it provides direct control of stator flux and torque by optimally selecting the inverter states in each sampling period. In case of multi-phase system drive, the increased number of voltages vectors offers greater flexibility in optimizing the selection of the inverter states. The technique elaborated in this work based direct torque control allows independently control of the system fed by single inverter. The effectiveness and capability of the proposed method are shown by computer simulation.
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