Renesas 2023 27
Sensorless
Motor Demo
With support provided for
the Renesas Motor Control
Kits, one way to evaluate the
features available through Reality
AI Tools is by using an existing
demo, such as the Reality AI demo on
mouser.com. The demo incorporates
the Renesas RA6T2 Motor Control Kit and
provides insight and instructions for creating
a predictive sensorless ML model that detects
unbalanced motor loads using current, voltage,
and speed. The RA6T2 Motor Control Kit features an
enhanced central processing unit (CPU) and hardware
accelerator for home appliance and industrial automation
application deployments. The kit comes complete with
all the basics, including a CPU board, inverter board,
communication board, and brushless DC motor.
The project article outlines the necessary resources and
required hardware, with applicable links as well as steps
to train and deploy your ML model. If you are looking to
jump right in with Reality AI without the hardware, pre-
built data files are also available to help you get started.
The steps in the demo take you through everything
from uploading and curating your data to training and
deployment. Of course, this only scratches the surface
of the entire suite of available features, such as using
new data to further test and optimize as well as ways to
potentially decrease the complexity of the model without
sacrificing accuracy.
An example of a simple application for this type of
demo is detecting issues with load balance in a washing
machine during a spin cycle and notifying the end user.
Conclusion
Renesas Reality AI is a powerful software toolset that can
revolutionize the way businesses analyze sensor data.
Through automated analysis and selection of the most
relevant sensor data for the specific prediction model
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RA6M4 Evaluation Kit
of interest, the Reality AI toolset extracts meaningful
insights and offers potential BOM optimization. These
capabilities can also be incorporated via firmware
updates into existing systems without additional BOM
costs. The models generated are extremely resource
efficient, consuming insignificant CPU load so the
MCU is practically free to perform all the usual tasks
while incorporating these features. With its complete
integration into the Renesas toolchain and full support
for the MCU portfolio and development boards, the
Reality AI toolset provides the speed and accuracy
required to deliver the precision businesses expect to
make sense of vast amounts of data, helping to minimize
costly equipment downtime.
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