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Context 1
... this topic, in additional to a higher level of resonance, real data from measurement is used to estimate a model. The experimental setup and measurement samples have been presented in ( Welsh and Goodwin, 2003;Gilson et al., 2018), the frequency axis is defined from 10 rad/s to 600 rad/s and 1600 points were used to estimate the model. Fig. 3 illustrates the experimental setup described in Gilson et al. (2018). The bar consists of a 60cm long uniform aluminum beam and a pair of piezoelectric elements are attached symmetrically to either side of the beam. In this experiment, a vector analyzer is used to determine the frequency response of the piezoelectric laminate and the ...
Context 2
... this topic, in additional to a higher level of resonance, real data from measurement is used to estimate a model. The experimental setup and measurement samples have been presented in ( Welsh and Goodwin, 2003;Gilson et al., 2018), the frequency axis is defined from 10 rad/s to 600 rad/s and 1600 points were used to estimate the model. Fig. 3 illustrates the experimental setup described in Gilson et al. (2018). The bar consists of a 60cm long uniform aluminum beam and a pair of piezoelectric elements are attached symmetrically to either side of the beam. In this experiment, a vector analyzer is used to determine the frequency response of the piezoelectric laminate and the ...
Citations
... O uso de dados distribuídos não equidistantementeé uma ferramenta comum para superar os problemas relacionados a grandes conjuntos de amostras. Em Rodrigues et al. (2019), os autores discutem as diferenças entre os algoritmos de McKelvey et al. (1996) e van Oversehee and Moor (1996) e avaliam o desempenho dos algoritmos para aplicações de sistemas ressonantes. ...
The parameter estimation of systems that operate interconnected requires not only accuracy but also the preservation of properties intrinsic to the physical system, as passivity, in such a way that models that do not guarantee that property may incur unstable behavior in time-domain simulations. The main objective of this paper is the application of a 4SID algorithm to estimate passive state-space models, from frequency response data. To attain that purpose, passivity enforcement equations based on LMIs are formulated as constraints of the optimization problem to reach a globally optimal and passive solution. A weighting methodology, in the frequency domain, is also formulated as an LMI, and it is incorporated into the algorithm in order to improve the approximation between the response of the estimated model and the data. A case study using experimental data measured from a power transformer is presented to show and validate the proposed approach. The results reveal that the proposed algorithm solves passivity enforcement problems in a single step without interactions and is capable to estimate passive models with 4SID algorithms.
