TY - GEN
T1 - Creep Testing Machine Identification for Power System Load Optimization
AU - Szulc, Michal
AU - Kasprzyk, Jerzy
AU - Loska, Jacek
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
PY - 2023
Y1 - 2023
N2 - This paper presents the results of an identification study of a three-zone furnace of a single-sample creep testing machine. The steps leading to obtaining a model are described, including: preparation of the test stand, determination of parameters of the identification experiment, identification of the dominant disturbances, selection of excitation signal, selection of model structure, validation of the obtained results, and analysis of possible nonlinearities. The description of the research includes information on the applied software compensator for disturbances caused by changes in the supply voltage, with the help of which they were reduced to a level that made it possible to conduct identification experiments. A model with three inputs and three outputs was identified as a MIMO, MISO and SISO structure. The advantages and disadvantages of each of these solutions are presented. The model was validated using step response experiments. The paper also presents a method for including static nonlinearity in the model.
AB - This paper presents the results of an identification study of a three-zone furnace of a single-sample creep testing machine. The steps leading to obtaining a model are described, including: preparation of the test stand, determination of parameters of the identification experiment, identification of the dominant disturbances, selection of excitation signal, selection of model structure, validation of the obtained results, and analysis of possible nonlinearities. The description of the research includes information on the applied software compensator for disturbances caused by changes in the supply voltage, with the help of which they were reduced to a level that made it possible to conduct identification experiments. A model with three inputs and three outputs was identified as a MIMO, MISO and SISO structure. The advantages and disadvantages of each of these solutions are presented. The model was validated using step response experiments. The paper also presents a method for including static nonlinearity in the model.
KW - Creep test
KW - Disturbance compensation
KW - Dynamic model
KW - System identification
UR - https://www.scopus.com/pages/publications/85175689114
U2 - 10.1007/978-3-031-35170-9_11
DO - 10.1007/978-3-031-35170-9_11
M3 - Conference contribution
AN - SCOPUS:85175689114
SN - 9783031351693
T3 - Lecture Notes in Networks and Systems
SP - 113
EP - 122
BT - Advanced, Contemporary Control - Proceedings of the 21st Polish Control Conference, 2023, Volume 1
A2 - Pawelczyk, Marek
A2 - Bismor, Dariusz
A2 - Ogonowski, Szymon
A2 - Kacprzyk, Janusz
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st Polish Control Conference, PCC 2023
Y2 - 26 June 2023 through 29 June 2023
ER -