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Igor R. Sousa
Programa de Pós-Graduação em Engenharia de Teleinformática, Universidade Federal do Ceará, CE
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Felipe J. S. Vasconcelos
Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal do Ceará, CE
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Fabrício G. Nogueira
Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal do Ceará, CE
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Guilherme A. Barreto
Programa de Pós-Graduação em Engenharia de Teleinformática, Universidade Federal do Ceará, CE
Keywords:
neonatal incubator, LPV identification, SOS, LPV control, RST control
Abstract
In this work, the identification of the thermal system of a neonatal incubator is performed using a local ARX LPV model whose scheduling variable is the ambient temperature. The LPV model performance indices are VAF=97.90% and RMSE=0.0077. The performance of this model is compared with ARX LTI models obtained by fixing the scheduling variable of the LPV model. The identified model is used for the synthesis of an RST LPV controller by solving a PLMI by sum of squares relaxation. The closed-loop responses for the same reference step at different levels of the scheduling variable are quite close to each other. The pole map shows that the poles are confined around the desired target poles. The RST LPV controller is compared to fixed RST controllers.
