Fully Error Compensation BLDC Motor Control Using Self Feedback Voltage Computation

The position of BLDC motor using deep neural network algorithm to implement this techniques, a sensor less control system is used, which estimate the rotor position using back of electromotive force (bemf). The bemf signals are used to determine the position of the rotor and the phase current. Brushless direct-current (BLDC) motors cannot operate efficiently without a precise commutation signal. However, commutation faults can be caused by the low-pass filter (LPF), non-ideal current, circuit, and software retarding. This can negatively impact the performance of BLDC motors, for example, by increasing current ripple and noise. A unique compensation approach is presented to rapidly reduce the commutation defects and enhance the motor performance. A counter is used to compute the compensation time. Additionally, the virtual neutral voltage provides the counter's start-stop signals. Compared to the conventional compensation approach based on the incorporation of virtual neutral voltage, the suggested method has a quicker compensation speed and greater precision and requires neither a voltage nor a current sensor.