Implementation of Fuzzy-Model Based Autotuning Power System Stabilizer (CROSBI ID 554727)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tečec, Zlatka ; Babić, Josip ; Petrović, Ivan
engleski
Implementation of Fuzzy-Model Based Autotuning Power System Stabilizer
Adaptive power system stabilizers presented in last decade mainly address the way of PSS parameters adaptation and are less interested in way of its implementation. Almost all of algorithms are developed in floating point arithmetic despite the facts that digital automatic voltage regulators, within PSSs typically have to be implemented, are mostly based on 16 or 32-bit fixed point processors. The paper presents implementation process of newly proposed fuzzy-model based autotuning power system stabilizer on fixed point platform. Accent is placed on implementing RLS algorithm used for plant model parameters estimation due to the fact that this is numerically the most intensive part of proposed PSS algorithm. Here presented implementation stages and directions are results of the PSS implementation, but can be translated to implementation of any other, numerically intensive, algorithm in fixed point arithmetic (i.e. intended for fixed point processor targets).
DSP; real time processing; adaptive control; electrical machines; PSS
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Podaci o prilogu
2009.
objavljeno
Podaci o matičnoj publikaciji
International Conference on Electrical Drives and Power Electronics (EDPE 2009) : procedings
Podaci o skupu
International Conference on Electrical Drives and Power Electronics
predavanje
12.10.2009-14.10.2009
Dubrovnik, Hrvatska