Modelling, Parameters Estimation And Adaptive Control Of A Synchronous Generator

Abstract

This paper presents some considerations regarding the influence of parameters
estimation algorithms relative to the performances of an adaptive control system. There were
considered two types of parameters estimators: the classical recursive least square (RLS)
estimator and respectively, a non-recursive estimator based on Givens orthogonal transformation.
All study cases considers as plant a synchronous generator connected to an infinite bus through a
long transmission line. There is presented a mathematical model of the considered synchronous
generator process and it is also described the implementation algorithm of the non-recursive
parameters estimator based on Givens orthogonal transformation. The comparative studies are
conducted considering the both cases of an open and a closed loop structure's influence over the
parameters estimation. Also a comparative study is done regarding the usage of RLS estimator
and respectively the non-recursive estimator based on Givens orthogonal transformation. The
simulation results show that the evolution of the estimated parameters doesn't represent a trustful
criterion for evaluating the control system performances. Therefore, in the same simulation
conditions using different parameters estimators the simulations show different temporal
evolutions of the estimated process parameters.