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Non‐linear excitation control of a synchronous generator using robust feedback linearization
Author(s) -
Lahdhiri T.,
Alouani A. T.
Publication year - 1997
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/(sici)1099-1514(199707/08)18:4<237::aid-oca592>3.0.co;2-g
Subject(s) - control theory (sociology) , linear system , linearization , linear congruential generator , electric power system , feedback linearization , robust control , computer science , controller (irrigation) , interconnection , stability (learning theory) , control engineering , control system , power (physics) , mathematics , nonlinear system , control (management) , engineering , mathematical analysis , agronomy , computer network , physics , quantum mechanics , artificial intelligence , electrical engineering , biology , machine learning
The objective of this paper is to design non‐linear excitation controllers for synchronous generators using robust feedback linearization. Since disturbances acting on power systems are of random nature and since the variations in the interconnection variables, the machine currents, cannot be known with certainty, such systems have to be treated as non‐linear uncertain stochastic systems. To take advantage of well‐developed robust linear control techniques, geometry and stochastic calculus are used to transform the non‐linear system to an equivalent linear uncertain system. Simulation results of a single‐machine infinite‐bus system indicate that the proposed controller provides a larger stability margin than that obtained using existing linear and non‐linear controllers. © 1997 John Wiley & Sons, Ltd.