"A Guide to Using BLDC Motors (Gimbals) with SaraKIT: A Comparison of Stepper Motors, Servos, and BLDC Motors"
BLDC motors have become increasingly popular due to their smooth operation, high torque, and precise control. In this guide, we will explore the use of BLDC motors using SaraKIT, and compare them to other commonly used motors such as stepper motors and servos.

In this video, I demonstrate how easy it is to control BLDC gimbal motors, and also discuss the advantages and disadvantages of solutions based on servos or stepper motors. I also show the difference in controlling gimbal motors that have a decoder and those that do not. Gimbal motors with a decoder are controlled using the Field Oriented Control (FOC) algorithm.

Advantages of BLDC gimbal motors:
-Fraction-of-a-degree precision
-Incredible speed (consider how fast such motors spin in drones)
-Quiet operation (virtually silent at low speeds)
-Reliability (no gears, gearboxes, friction, or jolts - nothing to break down)
-Significant power (dependent on the size of the motor)

The condensed knowledge presented here is based on many materials from the internet, such as the "Simple Field Oriented Control BLDC driver" for Arduino systems.

In future videos, we will show how to use gimbal control to create a self-balancing robot, RC car, precise Pan/Tilt camera control, or creating a voice assistant based on Amazon Alexa, Google Home, or ChatGPT that does not require continuous calling of the keyword "Alexa...", but just looking at it.

Code examples in Pascal and C++ is created for Raspberry Pi 4 in CM4 version.

SaraKIT requires 12-24VDC min. 20W when you use motors in your project, you should use a correspondingly larger power supply.
For mobile devices, we recommend a simple connection to the PowerBank (PD2.0 PD3.0 Fast Charging and QC4 with USB-C output) with a special PD 12v cable. Or by connecting a USB cable via USB-C Pd Trigger Module Pd 12v.

Now available on Crowd Supply:
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(We are creating Voice Assistant based on ChatGPT)

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