Abstract
To get the most power from a wind turbine, speed of the turbine should be controlled in some operation regions in order to maximize the harvested power. In this paper, a robust controller is proposed which requires no knowledge about the system under control while being easy to tune to achieve required tracking performance, and it is applied for controlling wind turbine rotation speed. The proposed approach uses sliding mode control (SMC) which is enhanced by using an extended state observer (ESO) that estimates and rejects the unmodeled dynamics and external disturbance hence allowing much lower switching gain, or even allowing the use of non-switching control input. The SMARC results are compared with a manually tuned PID controller. The comparison had shown the significance of SMARC robustness, while being easier to design than PID.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350332117 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives Duration: 11 Mar 2023 → 12 Mar 2023 |
Publication series
| Name | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 |
|---|
Conference
| Conference | 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 |
|---|---|
| Country/Territory | Maldives |
| City | Male |
| Period | 11/03/23 → 12/03/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- active disturbance rejection control (ADRC)
- robust control
- sliding mode control (SMC)
- wind turbine
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Fuel Technology
- Renewable Energy, Sustainability and the Environment
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