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.
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