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Wind Turbine Multivariable Optimal Control Based on Incremental State Model
Author(s) -
Adánez José Miguel,
AlHadithi Basil Mohammed,
Jiménez Agustín
Publication year - 2018
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1720
Subject(s) - control theory (sociology) , multivariable calculus , linear quadratic regulator , observer (physics) , optimal control , turbine , nonlinear system , controller (irrigation) , state (computer science) , steady state (chemistry) , transient (computer programming) , engineering , control engineering , mathematics , control (management) , computer science , mathematical optimization , algorithm , artificial intelligence , mechanical engineering , agronomy , chemistry , physics , quantum mechanics , biology , operating system
Abstract The multivariable optimal control of a wind turbine by an approach based on incremental state model is proposed. The advantages of incremental state model in comparison with the non incremental one are that the control action cancels steady state errors and incremental state solves the problem of computing the target state, choosing zero as an objective. Linear Quadratic Regulator (LQR) and optimal state observer are applied. The effectiveness of the proposed control method, over the non incremental one, is examined by applying the linear controllers to the nonlinear wind turbine model. The results show that incremental LQR control presents good transient response and zero steady state errors, even in presence of disturbances, nonlinearities and modelling errors.