Abstract
This paper provides a comprehensive overview of load disturbances in electric motor systems, their impact on performance, and existing control methods. First, load disturbances that can affect motor stability, control accuracy, dynamics, and energy efficiency, including static, dynamic, and nonlinear load variations, are introduced. Second, traditional control methods used for suppressing load disturbances like feedback and feedforward control are discussed, along with their advantages and limitations. Third, advanced control strategies such as intelligent control, self-adaptive control, and robust nonlinear control are introduced. Finally, this paper highlights the need for further research and identifies future directions. Overall, this review paper contributes to the development of robust motor control strategies, enhancing industrial automation and manufacturing processes.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers |
| ISBN (Electronic) | 9798350329346 |
| DOIs | |
| State | Published - 2023 |
| Event | 6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023 - Hybrid, Huzhou, China Duration: 7 Dec 2023 → 9 Dec 2023 |
Publication series
| Name | IEEE Student Conference on Electric Machines and Systems (SCEMS) |
|---|---|
| ISSN (Electronic) | 2771-7577 |
Conference
| Conference | 6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023 |
|---|---|
| Country/Territory | China |
| City | Hybrid, Huzhou |
| Period | 7/12/23 → 9/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- adaptive control
- induction motor
- intelligent control
- load disturbance
- permanent magnet motor
- robust nonlinear control
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