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Machine learning

Andreas Mühlbauer,

Real-time ML in control technology

Beckhoff offers a solution for machine learning (ML) integrated in TwinCAT 3.

Beckhoff offers a solution for machine learning (ML) integrated in TwinCAT 3. © Beckhoff

The advantages of system openness through the use of established standards are also available for ML applications. The inference, i.e. the execution of a trained ML model, is possible as a TwinCAT TcCOM object directly in real time, namely for small networks with a system response time of less than 100 µs. The models can be called up via the PLC, C/C++-TcCOM interfaces or via a cyclic task.

Integration into the control technology means that TwinCAT's multicore support is also available for ML. This means that the respective TwinCAT 3 Inference Engine can be accessed from different task contexts. Furthermore, access to all fieldbus interfaces and data in TwinCAT is provided.

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