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Journal ArticleDOI

Identification of the dynamics of the drivetrain and estimating its unknown parts in a large scale wind turbine

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TLDR
The drivetrain identification problem of a horizontal axis gear-driven wind turbine has been considered and the drivetrain model of the wind turbine is obtained but the aerodynamic torque in the real performance of theWind turbine is still unknown.
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This article is published in Mathematics and Computers in Simulation.The article was published on 2022-02-01. It has received 0 citations till now. The article focuses on the topics: Drivetrain & Wind power.

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References
More filters
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Novel approach to nonlinear/non-Gaussian Bayesian state estimation

TL;DR: An algorithm, the bootstrap filter, is proposed for implementing recursive Bayesian filters, represented as a set of random samples, which are updated and propagated by the algorithm.
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Modern control engineering

TL;DR: This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory and shows how to solve all computational problems with MATLAB.
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Higher-order sliding modes, differentiation and output-feedback control

TL;DR: In this article, the authors proposed arbitrary-order robust exact differentiators with finite-time convergence, which can be used to keep accurate a given constraint and feature theoretically-infinite-frequency switching.
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Sliding order and sliding accuracy in sliding mode control

TL;DR: It turns out that the deviation of the system from its prescribed constraints (sliding accuracy) is proportional to the switching time delay and a new class of sliding modes and algorithms is presented and the concept of sliding mode order is introduced.
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Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches

Dan Simon
TL;DR: With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory.
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