Simulink simulation of brushless DC motor (Matlab)
The brushless DC motor (BLDC) is a commonly used motor type that offers the advantages of high efficiency, high power density, and long life. In engineering practice, verifying the correctness and performance of motor control algorithms through simulation models is an important task. In this article, we will use Simulink and Matlab to simulate a brushless DC motor and provide the corresponding source code.
First, we need to create the Simulink model. Open Matlab and create a new Simulink model. Then, drag and drop the following components from the Simulink library into the model:
-
Motor model: Use the "Motor" block in the Simulink library to represent a brushless DC motor. This module provides the basic characteristics and parameter settings of the motor.
-
Controller model: We need to design a controller to control the speed of the motor. A PID controller or other control algorithm can be used. In this article, we will use a PID controller. Add a PID controller block to the model and set the appropriate parameters.
-
Speed command: Control the motor speed by inputting a speed command signal. You can use Step or other signal source modules to generate speed command signals.
-
Feedback signal: Motors are often equipped with position or speed sensors to provide feedback signals. Add a Feedback Signal block to the model and connect it to the Motor block.
-
Action limit: In order to protect the motor and controller, the action limit module can be added to limit the range of the output signal.
After creating the model, we need to set the parameters of the motor and controller. By double-clicking the motor module and PID controller module, you can set the corresponding parameters, such as the inductance, resistance, inertia, etc. of the motor, as well as the proportional, integral, and differential gains of the PID controller.
Next, we need to write MATLAB code to run the simulation and plot the results. In the MATLAB command window enter