Reducing Plant-Model Mismatch for Economic Model Predictive Control of Wind Turbine Fatigue by a Data-Driven Approach-Reference-Cited by-同舟云学术

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Reducing Plant-Model Mismatch for Economic Model Predictive Control of Wind Turbine Fatigue by a Data-Driven Approach

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
language:
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Author:

Anand Abhinav¹,Bottasso Carlo L.¹

Affiliation:

1. Technical University of Munich, Wind Energy Institute,Garching bei Muenchen, Munich,Germany,85748

Funder

Ministry of Economic Affairs

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156501.pdf?arnumber=10156501

Reference14 articles.

1. An economic NMPC formulation for wind turbine control

2. Turbsim user’s guide: Version 1.50;jonkman,0

3. acados: a modular open-source framework for fast embedded optimal control;verschueren,2019

4. Direct Online Rainflow-counting and Indirect Fatigue Penalization Methods for Model Predictive Control

5. Definition of a 5-MW Reference Wind Turbine for Offshore System Development

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