G. Kavitha. Enhanced Fuzzy Non-Linear Power Control Based BLDC Motor Drive for Electric Vehicle Stability Analysis. Neural, Parallel, and Scientific Computations 28(2020), No.3, 143 – 160

https://doi.org/10.46719/npsc20202831

ABSTRACT.
In recent years, electric vehicles are the large-scale spread of the transportation field has led to the emergence of Brushless DC motors (BLDC), which are mostly utilized in propulsion systems. However, the sector information (rotor position) required by BLDC motors is used for power electronic converters based on BLDC drives to perform external commutation. The BLDC motor is a synchronous motor driven by unstable parallel connection because it does not slip due to the permanent magnet synchronous motor (PMSM). A different control method is to improve by using the BLDC motor the performance, to drive this BLDC motor have been in this system. In this proposed Enhanced Fuzzy Nonlinear Power Control (EFNPC) system is a simple and effective way for BLDC motor current control technology, a proposed control strategy is intended to stabilize the wheel power supply through the control of BLDC motor drive. The proposed Enhanced Fuzzy Nonlinear Power Control (EFNPC) method is called using a hall-based sensor. It is modified for BLDC motor drive based on a reference positive current to produce positive current control. The modulation method is implemented. To assess the theory, the proposed procedure is first actualized in an open circle structure. It is given to be equivalent; the performance is comparable to the traditional, ensuring a simplified development. Finally, the Enhanced Fuzzy Nonlinear Power Control (EFNPC) for controlling BLDC motor operation was verified by simulation using the MATLAB2017b software.

Key Words and Phrases: INVERTER, BLDC MOTOR, ENHANCED FUZZY NONLINEAR POWER CONTROL (EFNPC), SPEED SENSOR, DRIVER CIRCUIT.