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4:51 Video length is 4:51.
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Real-Time Testing – Deploying a Reinforcement Learning Agent for Field-Oriented Control

Deploy a trained reinforcement learning policy to a Speedgoat system for real-time testing. Use the capabilities for implementing deep learning inference in Simulink® and plain C code generation for deep learning networks to deploy a trained reinforcement learning agent.

In this demo, a pretrained reinforcement learning agent for field-oriented control of a permanent magnet synchronous motor (PMSM) is used to showcase this workflow. Refer to "reinforcement learning for field-oriented control of a permanent magnet synchronous motor" to learn how to set up and train an agent for this application.

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  • Reinforcement Learning Toolbox
  • Deep Learning Toolbox
  • Motor Control Blockset
  • Simulink
  • Simulink Real-Time

Bridging Wireless Communications Design and Testing with MATLAB

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