Dynamic Data Reserved Modeling Method Based on Steady-state Component Estimation and State Tracking

doi:10.16182/j.issn1004731x.joss.17-0173

Abstract

Abstract: Aiming at the existing problems of conventional industrial system modeling methods, a dynamic data reserved modeling method based on steady-state component estimation and state tracking is proposed. The dynamic response data of the system is selected as the modeling data. The input value at the end of the selected data is chosen as steady-state component, and the steady-state component value of output is artificial given. Steady-state component of the modeling data is removed according to the steady-state component of input and output, and the modeling data is divided into three sections. The prediction model and the state observer are used to observe the system state at the end of the first section, and the state is regarded as system initial state corresponding to second section. The second section is used to optimize model parameters and output steady-state component. The third section of data is adopted to validate the model. The finishing superheater modeling of a thermal power unit is carried out,and the simulation results show the method effectiveness.

Key words: steady-state component, state observer, dynamic data, reserved modeling

CLC Number:

TP391.9

Dong Ze, Yin Erxin. Dynamic Data Reserved Modeling Method Based on Steady-state Component Estimation and State Tracking[J]. Journal of System Simulation, 2019, 31(5): 843-852.

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