This paper compares the dynamic performance of Brushless DC (BLDC) motor control using three different methodologies: Proportional-Integral-Derivative (PID) control, Artificial Neural Network (ANN) ...

Learn how to use MATLAB, Simulink, Scilab, Xcos, Python, Jupyter Notebook, online tools, and hardware experiments for PID controller analysis and simulation.

Simulation diagram of the fuzzy PID control model for a brushless DC motor. Thumbnail ... Controller: AT89C52: Motor: BLD-300B BLDC motor: Motor Driver: 80BL02: Sensor for monitoring crate condition: ...

The driver adjusts the input voltage of the BLDC motor, according to the control signal from the VCU, to control the speed of the wheel. The CAN bus is used between the driver and the controller.

I’ve been interested in building my own BLDC controller just to become more familiar with the concepts… but if you are building a product I’m unsure why you wouldn’t go for an existing IC ...

The BLDC motor is highly efficient and easy to control. In this study, a BLDC motor drive was designed for improved speed control and high-power efficiency. A modified Zeta converter was used to ...

Figure 2 The Simulink library comprises mathematical blocks like BLDC control and mathematical transforms. The above diagram shows the Simulink library that comprises mathematical blocks such as ...

The diagram below shows the Simulink model of BLDC motor control with fuzzy logic. Figure 11 and Figure 12 show the results of simulation obtained with the fuzzy logic. When starting, the speed ...

Simulation techniques and lightweight construction are enabling BLDC electric drive systems to achieve a power to weight performance of 5kW/kg compared to the industrial electric motors of 1kW/kg.