Articles | Volume 5, issue 4
https://doi.org/10.5194/wes-5-1579-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-1579-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Nov 2020
Research article |
| 17 Nov 2020
| 17 Nov 2020
Automatic controller tuning using a zeroth-order optimization algorithm
Department of Electrical, Computer & Energy Engineering, University of Colorado Boulder, Boulder, CO 80309 USA
Emiliano Dall'Anese
Department of Electrical, Computer & Energy Engineering, University of Colorado Boulder, Boulder, CO 80309 USA
Lucy Y. Pao
Department of Electrical, Computer & Energy Engineering, University of Colorado Boulder, Boulder, CO 80309 USA
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Total article views: 4,174 (including HTML, PDF, and XML)
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Total article views: 719 (including HTML, PDF, and XML)
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Cited
20 citations as recorded by crossref.
- Comparison of 25 MW downwind and upwind turbine designs with individual pitch control M. Phadnis et al. 10.1088/1742-6596/2767/3/032039
- Control Co-Design of Wind Turbines L. Pao et al. 10.1146/annurev-control-061423-101708
- Multiloop Control of Floating Wind Turbines: Tradeoffs in performance and stability D. Stockhouse & L. Pao 10.1109/MCS.2024.3432340
- Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy L. Pao et al. 10.1016/j.arcontrol.2021.02.001
- Floating wind turbine control optimization D. Zalkind et al. 10.1088/1742-6596/2265/4/042021
- A Dynamic Control Model of the Blades Position for the Vertical-Axis Wind Generator by a Program Method I. Stoyanov et al. 10.3390/inventions8050120
- Operational Pitch Actuation Dynamics for Offshore Wind Turbines Ranging from 5 to 50 MW M. Jeong et al. 10.1002/we.2975
- Aero-structural rapid screening of new design concepts for offshore wind turbines A. Escalera Mendoza et al. 10.1016/j.renene.2023.119519
- A Tutorial on the Control of Floating Offshore Wind Turbines: Stability Challenges and Opportunities for Power Capture D. Stockhouse et al. 10.1109/MCS.2024.3433208
- Vibration control in wind turbines during emergency shutdown based on nacelle velocity at the top of the tower P. You et al. 10.1016/j.istruc.2025.108478
- Constrained power reference control for wind turbines D. Zalkind et al. 10.1002/we.2705
- Extremum Seeking Tracking for Derivative-Free Distributed Optimization N. Mimmo et al. 10.1109/TCNS.2024.3510368
- Active rotor coning for a 25 MW downwind offshore wind turbine C. Qin et al. 10.1088/1742-6596/2265/3/032022
- Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine S. Kianbakht et al. 10.1002/we.2781
- Downwind coning concept rotor for a 25 MW offshore wind turbine C. Qin et al. 10.1016/j.renene.2020.04.039
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
- Active load control applied to upscaled wind turbines: Design and cost impacts I. Mishra et al. 10.1016/j.renene.2025.123411
- A reference open-source controller for fixed and floating offshore wind turbines N. Abbas et al. 10.5194/wes-7-53-2022
- Design of a 3.4‐MW wind turbine with integrated plasma actuator‐based load control M. Chetan et al. 10.1002/we.2684
- Automatic controller tuning using a zeroth-order optimization algorithm D. Zalkind et al. 10.5194/wes-5-1579-2020
18 citations as recorded by crossref.
- Comparison of 25 MW downwind and upwind turbine designs with individual pitch control M. Phadnis et al. 10.1088/1742-6596/2767/3/032039
- Control Co-Design of Wind Turbines L. Pao et al. 10.1146/annurev-control-061423-101708
- Multiloop Control of Floating Wind Turbines: Tradeoffs in performance and stability D. Stockhouse & L. Pao 10.1109/MCS.2024.3432340
- Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy L. Pao et al. 10.1016/j.arcontrol.2021.02.001
- Floating wind turbine control optimization D. Zalkind et al. 10.1088/1742-6596/2265/4/042021
- A Dynamic Control Model of the Blades Position for the Vertical-Axis Wind Generator by a Program Method I. Stoyanov et al. 10.3390/inventions8050120
- Operational Pitch Actuation Dynamics for Offshore Wind Turbines Ranging from 5 to 50 MW M. Jeong et al. 10.1002/we.2975
- Aero-structural rapid screening of new design concepts for offshore wind turbines A. Escalera Mendoza et al. 10.1016/j.renene.2023.119519
- A Tutorial on the Control of Floating Offshore Wind Turbines: Stability Challenges and Opportunities for Power Capture D. Stockhouse et al. 10.1109/MCS.2024.3433208
- Vibration control in wind turbines during emergency shutdown based on nacelle velocity at the top of the tower P. You et al. 10.1016/j.istruc.2025.108478
- Constrained power reference control for wind turbines D. Zalkind et al. 10.1002/we.2705
- Extremum Seeking Tracking for Derivative-Free Distributed Optimization N. Mimmo et al. 10.1109/TCNS.2024.3510368
- Active rotor coning for a 25 MW downwind offshore wind turbine C. Qin et al. 10.1088/1742-6596/2265/3/032022
- Design space exploration and decision‐making for a segmented ultralight morphing 50‐MW wind turbine S. Kianbakht et al. 10.1002/we.2781
- Downwind coning concept rotor for a 25 MW offshore wind turbine C. Qin et al. 10.1016/j.renene.2020.04.039
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
- Active load control applied to upscaled wind turbines: Design and cost impacts I. Mishra et al. 10.1016/j.renene.2025.123411
- A reference open-source controller for fixed and floating offshore wind turbines N. Abbas et al. 10.5194/wes-7-53-2022
Latest update: 02 Jul 2025
Short summary
New wind turbine designs require updated control parameters, which should be optimal in terms of the performance measures that drive hardware design. We show how a zeroth-order optimization algorithm can randomly generate control parameters, use simulation results to estimate the gradient of the parameter space, and find an optimal set of those parameters. We then apply this automatic controller tuning procedure to three problems in wind turbine control.
New wind turbine designs require updated control parameters, which should be optimal in terms of...
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