文章基本信息

标题：eMPC Based Fault-tolerant Control for Wind Turbine Converters ⁎
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作者：Tushar Jain ; Joseph Julien Yamé
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：24
页码：1343-1348
DOI：10.1016/j.ifacol.2018.09.560
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we present a novel active fault-tolerant control (FTC) methodology for wind turbines, which minimizes the economic cost of the turbine by achieving two broad objectives: power maximization and fatigue reduction possibly under the effect of bias faults in converters. The proposed FTC system is composed of two modules: fault diagnosis and controller reconfiguration. We develop the latter module using a model-predictive control (MPC) scheme where the constraints set of the decision variables is not convex. The novelty of the proposed scheme lies in the transformation of the non-convex optimization problem into a convex problem using some new decision variables. The fault diagnosis algorithm is based on an unknown-input-residual generator which extracts the complete information of the fault. This fault information is then used to update in real-time the constraints of the MPC to ensure the system availability. The effectiveness of the developed scheme is demonstrated on a2MWwind turbine system.
关键词：KeywordsFault-tolerant controlfault diagnosisrenewable energy systemswind turbinesmodel-predictive control