Original scientific paperThis paper presents a Takagi-Sugeno (TS) synchronous generator unit model intended for application in an autotuning power system stabilizer. The model takes into account all three process variables that can affect synchronous machine dynamics regarding stability -beside usually used active and reactive power (P and Q) it includes also line reactance (xm). It is shown that the proposed model gives very good results in spite of simple third order local model used as the consequent part of the proposed TS structure. This makes the model appropriate for implementation on simple microprocessor platforms. Because P, Q and xm are included as TS model premises, it is enough to identify parameters of models in consequent part of TS model off-line. In this way possible numerical instability is avoided, which is common to adaptive PSSs that calculate controller's parameters directly from on-line identified plant parameters.Key words: Modelling, Electrical machines, Takagi-Sugeno model, Power system stabilizer Takagi-Sugeno model sinkronog generatora namijenjen primjenama u samopodesivim stabilizatorima elektroenergetskog sustava. U ovome je radu predstavljen Takagi-Sugeno (TS) model sinkronog generatora namijenjen primjenama u samopodesivim stabilizatorima elektroenergetskog sustava. Model uzima u obzir sve tri procesne varijable koje utječu na stanje sinkronog stroja s obzirom na njegovu stabilnost -uz uobičajeno korištene radnu i jalovu snagu (P i Q) model takoer uključuje i ekvivalentnu mrežnu reaktanciju (xm). Pokazano je da predloženi model daje vrlo dobre rezultate unatoč jednostavnom modelu trećeg reda u posljedičnom dijelu TS strukture. Točini predloženi model prikladnim za primjenu na jednostavnim mikroprocesorskim platformama. Budući da su P, Q i xm uzročne varijable TS modela, dovoljno je off-line identificirati njegov posljedični dio. Na taj su način izbjegnuti problemi numeričke nestabilnosti, karakteristični za adaptivne strukture PSS-a koji parametre regulatora proračunavaju na temelju on-line identificiranog modela procesa.