Model identification of spacecraft thermal test temperature control system based on least square method

Xiaoning Liu; Lina Zhang; Shuo Liang; Xi Zhu; Bin Shen

doi:10.1117/12.2640886

2 December 2022 Model identification of spacecraft thermal test temperature control system based on least square method

Xiaoning Liu, Lina Zhang, Shuo Liang, Xi Zhu, Bin Shen

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 122881X (2022) https://doi.org/10.1117/12.2640886
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

Spacecraft thermal test temperature control systems are diverse and complex, and the control parameters corresponding to different temperature control systems are also different. This paper selects the identification model, determines the input signal and error signal and their difference, and calculates the system model parameters through the error criterion function. The identification method based on the least square method is adopted, and the error criterion function between the selected controlled object and its minimization mathematical model is used as the standard, and all the required data of the controlled system model is collected, and then the calculation is performed to estimate the temperature control system Parameters. Comparing the temperature data obtained by this identification method with the temperature data of the actual system shows that the identification accuracy is greater than 99%.

Citation Download Citation

Xiaoning Liu, Lina Zhang, Shuo Liang, Xi Zhu, and Bin Shen "Model identification of spacecraft thermal test temperature control system based on least square method", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 122881X (2 December 2022); https://doi.org/10.1117/12.2640886

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