@inproceedings{1b8923a191ac40ba83ea87559204f2b2,
title = "Data-driven design of KPI-related fault-tolerant control system for wind turbines",
abstract = "In this paper, a scheme for an integrated design of fault-tolerant control (FTC) systems for a wind turbine benchmark is proposed, with focus on the overall performance of the system. For that a key performance indicator (KPI) which reflects the economic performance of the system is defined, and the objective of the proposed FTC scheme is to maintain the system KPI in the admissible range in faulty conditions. The basic idea behind this scheme is data-driven design of the proposed fault-tolerant architecture whose core is an observer/residual generator based realization of the Youla parameterization of all stabilizing controllers with an embedded residual generator for fault detection (FD) purpose. The performance and effectiveness of the proposed scheme are demonstrated through the wind turbine benchmark model proposed in [1].",
keywords = "KPI, Youla parameterization, data-driven fault-tolerant control, wind turbines",
author = "H. Luo and Ding, \{S. X.\} and A. Haghani and H. Hao and S. Yin and T. Jeinsch",
year = "2013",
doi = "10.1109/acc.2013.6580528",
language = "英语",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4465--4470",
booktitle = "2013 American Control Conference, ACC 2013",
address = "美国",
note = "1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",
}