Reinforcement Learning for Field-Oriented Control of a Permanent Magnet Synchronous Motor
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.
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Видео Reinforcement Learning for Field-Oriented Control of a Permanent Magnet Synchronous Motor канала MATLAB
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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.
Видео Reinforcement Learning for Field-Oriented Control of a Permanent Magnet Synchronous Motor канала MATLAB
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