
BLDC motor design by applying the control of direct current and analysis of loading mechanism soft starting
Author(s) -
Mohammad Wirandi,
Safril Safril,
Fredy Sumasto,
M. Agus,
Febriza Imansuri
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/885/1/012005
Subject(s) - control theory (sociology) , torque , fuzzy logic , motor soft starter , inrush current , computer science , direct current , current (fluid) , transient (computer programming) , dc motor , mechanism (biology) , control engineering , voltage , control (management) , engineering , physics , artificial intelligence , electrical engineering , transformer , quantum mechanics , thermodynamics , operating system
In this research, there will be a design driver brushless DC (BLDC), which on the input voltage of the motor driver applying direct current controllers and the implementation mechanism of soft starting the operator of BLDC, which uses fuzzy logic controllers. Testing is done with a view of controlling the application of direct current to the BLDC to many conditions, namely the amount of value given fuzzy logic and the load that is given to the mechanics. The design of the driving BLDC has successfully created and implemented by applying a direct current control and the results obtained in the form of efficiency that is better than the previous design. The soft starting mechanism that controls using the fuzzy logic method possible produces a low inrush current and generates steady conditions that are better on BLDC. For values that are applied to the load, the greater the torque load placed on the BLDC, the higher the initial current needed to achieve transient time equally and opposite that the smaller the torque load placed on the BLDC, then the lower torque the load required to achieve the transient time.