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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      July 2023, Volume 38 Issue 3
    Article

    BLDC MOTOR SPEED CONTROL BY THE INTELLIGENT CONTROL TECHNIQUES
    B. Ramya, M.Aruna
    Journal of Data Acquisition and Processing, 2023, 38 (3): 5822-5835 . 

    Abstract

    In this study, we suggest using a bidirectional DC-DC converter to operate directions (forward, backward, driving, and braking). The motor is driven by (VSI), which receives its power from the DC-DC converter's output. A basic network with input and output nodes and hidden layers is (ANN). Since ANN more properly handles binary data, its implementation fulfills the desired outcomes. The BLDC motor is more widely used than its predecessors due to its fast speed, low maintenance requirements, and sufficient torque. The superior performance of this motor, along with the ease with which its speed can be modulated using Power Converters, makes it a popular choice. This article describes a technique for regulating the rotational velocity of a brushless DC motor by adjusting the DC input voltage to powers the motor. In the driving mode, the battery's bidirectional converter performs the buck operation, while in the regeneration mode, the boost operation is used to transform mechanical energy into electrical energy that may then becharged battery. The method suggests regenerative braking to collect energy at each stop for the electric car because of its frequent start/stop operation. Simulations of electromagnetic fields, pulse width modulation, and electromagnetic fields are achieved. Trained with the collected data, and their models provide parameter predictions that are quite near to the simulation findings.

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ISSN 1004-9037

         

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