engleski

A Takagi-Sugeno Fuzzy Model of Synchronous generators

This paper presents a Takagi-Sugeno (TS) synchronous machine 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 proposed model gives very good results in spite of only second 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, common to adaptive PSSs which calculate controller’ s parameters directly from identified plant parameters, is avoided.

Modelling; Adaptive control; Electrical machines; Takagi-Sugeno model; PSS

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