Open AccessControl of multi-machine using adaptive fuzzy
Author(s) -
Bousmaha Bouchiba,
A. Hazzab,
Hachemi Glaoui,
Fellah Med-Karim,
Ismaïl Khalil Bousserhane,
Pierre Sicard
Publication year - 2011
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee1102111b
Subject(s) - control theory (sociology) , linearization , fuzzy logic , controller (irrigation) , feedback linearization , electric power system , fuzzy control system , transformer , electric power transmission , control engineering , adaptive control , engineering , computer science , power (physics) , voltage , nonlinear system , control (management) , artificial intelligence , physics , electrical engineering , quantum mechanics , agronomy , biology
An indirect Adaptive fuzzy excitation control (IAFLC) of power systems based on multi-input-multi-output linearization technique is developed in this paper. The power system considered in this paper consists of two generators and infinite bus connected through a network of transformers and transmission lines. The fuzzy controller is constructed from fuzzy feedback linearization controller whose parameters are adjusted indirectly from the estimates of plant parameters. The adaptation law adjusts the controller parameters on-line so that the plant output tracks the reference model output. Simulation results shown that the proposed controller IAFLC, compared with a controller based on tradition linearization technique can enhance the transient stability of the power system
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