Research output per year
Research output per year
Project Details
Grant Program
Faculty Development Competitive Research Grants Program 2022-2024
Project Description
• A complete hardware-software solution for electric motor drives in collaborative robots.
• Improved solutions for electric motors used in the low-speed, high-torque application, especially collaborative robot.
• Increase of torque density and efficiency.
• Reduction of weight, material used, and cost.
• A compact system as all components (motor, sensor, and controller) are integrated inside the same space.
• Improved solutions for electric motors used in the low-speed, high-torque application, especially collaborative robot.
• Increase of torque density and efficiency.
• Reduction of weight, material used, and cost.
• A compact system as all components (motor, sensor, and controller) are integrated inside the same space.
| Short title | PM motor design and control |
|---|---|
| Acronym | PM motors |
| Status | Finished |
| Effective start/end date | 1/1/22 → 12/31/24 |
Keywords
- permanent magnet motor design
- Control systems
- collaborative robots
- observers
- sensorless control
- disturbance rejection
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Deep reinforcement learning for PMSG wind turbine control via twin delayed deep deterministic policy gradient (TD3)
Zholtayev, D., Rubagotti, M. & Do, T. D., Jul 1 2024, In: Optimal Control Applications and Methods. 45, p. 1889-1906Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Digital Disturbance Observer Design With Comparison of Different Discretization Methods for Permanent Magnet Motor Drives
Talapiden, K., Shakhin, Y., Thao, N. G. M. & Duc Do, T., 2024, In: IEEE Access. 12, p. 100892-100907 16 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Influence of Higher-order Disturbance Estimation on Maximum Power Extraction of Wind Energy Conversion System using Sliding Mode Control
Alhassan, A. B. & Do, T. D., 2024, 4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Citations (Scopus)