- Operation and Control
Automatic construction of Permanent Magnet Synchronous Motor (PMSM) drive logic using reinforcement learning
Applications
- Various types of control; e.g., motor control and crane control
Benchmarks, strengths, and track record
- Research is currently ongoing to achieve differentiation through more advanced controls, leveraging the strength of Toshiba’s devices.
Inquiries
Please include the title “Toshiba AI Technology Catalog: Automatic construction of Permanent Magnet Synchronous Motor (PMSM) drive logic using reinforcement learning” or the URL in the inquiry text.
Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.
References:
- Toshiya Takano, Ryosuke Saito; “Simulation of Reinforcement Learning Approach to a Motor Speed Control”; 2019 Institute of Electrical Engineers of Japan Electronics, Information and Systems Conference, p. 1210-1214
- Toshiya Takano, Tomoaki Shigeta; “Experiment of Motor Speed Control by Reinforcement Learning Approach”, 2021 Institute of Electrical Engineers of Japan Electronics, Information and Systems Conference, p. 974-979
- Naoya Matsumoto，Toshiya Takano, “Experiment of Motor Speed Control by Reinforcement Learning Approach”; 2021 Institute of Electrical Engineers of Japan Electronics, Information and Systems Conference, p. 1081-1085
- “Automated generation of PMSM speed control model by reinforcement learning”; Toshiba Review technology results, Vol. 75, No. 2, p. 74
- Tomoaki Shigeta, Toshiya Takano, “Method to Automatically Generate PMSM Speed Control Model Using Reinforcement Learning”; Toshiba Review, Vol. 76, No. 6, General Papers, p. 29-33
