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- W4235498284 abstract "The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The propotional-integral (PI) and fuzzy system controllers are developed., based on designer’s test and error process and experts. The experimential and hardware resuts for the inverter- driver circuits are presented. The simulation results using MATLAB simulink are conducted to validate the proposed (ANFIS) controller’s robustness and high performance relative to other controllers." @default.
- W4235498284 created "2022-05-12" @default.
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- W4235498284 date "2021-07-21" @default.
- W4235498284 modified "2023-10-16" @default.
- W4235498284 title "Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor" @default.
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- W4235498284 doi "https://doi.org/10.46300/91010.2021.15.10" @default.
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