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Application of Model Predictive Control Based on Kalman Filter in Solar Collector Field of Solar Thermal Power Generation

Xiaojuan Lu, Zeping Liang*

Lanzhou Jiaotong University, Lanzhou, 730070, China

* Corresponding Author: Zeping Liang. Email:

Energy Engineering 2021, 118(4), 1171-1183. https://doi.org/10.32604/EE.2021.014724

Abstract

There are two prominent features in the process of temperature control in solar collector field. Firstly, the dynamic model of solar collector field is nonlinear and complex, which needs to be simplified. Secondly, there are a lot of random and uncontrollable, measurable and unmeasurable disturbances in solar collector field. This paper uses Taylor formula and difference approximation method to design a dynamic matrix predictive control (DMC) by linearizing and discretizing the dynamic model of the solar collector field. In addition, the purpose of controlling the stability of the outlet solar field salt temperature is achieved by adjusting the mass flow of molten salt. In order to further improve the ability of the system to suppress unmeasured disturbances, a steady-state Kalman filter is designed to estimate state variables, so that the system has better stability and robustness. The simulation verification results show that the DMC control system based on Kamlan filtering has better control effect than the traditional DMC control system. In the case of large fluctuations in solar radiation intensity and consideration of undetectable interference, the overshoot of the system is reduced by 4% and the rise time remains unchanged.

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Cite This Article

Lu, X., Liang, Z. (2021). Application of Model Predictive Control Based on Kalman Filter in Solar Collector Field of Solar Thermal Power Generation. Energy Engineering, 118(4), 1171–1183.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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