Reinforcement Learning for FieldOriented Control of a Permanent Magnet Synchronous Motor

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Use reinforcement learning and the DDPG algorithm for field-oriented control of a Permanent Magnet Synchronous Motor. This demonstration replaces two PI controllers with a reinforcement learning agent in the inner loop of the standard field-oriented control architecture and shows how to set up and train an agent using the reinforcement learning workflow. • -------------------------------------------------------------------------------------------------------- • Get a free product trial: https://goo.gl/ZHFb5u • Learn more about MATLAB: https://goo.gl/8QV7ZZ • Learn more about Simulink: https://goo.gl/nqnbLe • See what's new in MATLAB and Simulink: https://goo.gl/pgGtod • © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. • See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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