WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 11, 2016
Clustering Multi-Model Predictive Control for Solar Thermal Power Generation System
Authors: Xiao-Juan Lu, Qi Guo, Hai-Ying Dong
Abstract: There are multi-mode information such as randomness and uncertainty in the solar thermal power generation set thermal process. In this paper, aiming at this problem, clustering multi-model predictive control algorithm is applied to its control. Firstly, the fuzzy clustering is used to measure the data, and then forgetting factor recursive the least square method is used to establish the model of the system. Secondly, the measured collector entrance temperature and solar radiation is considered as disturbance signal, the collector thermal oil flow is used to control outlet temperature and model predictive controller is designed. Finally, the controller was applied to the linear Fresnel thermal generation system to make simulation verification, and results were compared with the single model predictive control, which show that multi-model control precision was higher.
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Keywords: Solar thermal power generation, MMPC, Multi-variable forecasting model, Linear Fresnel
Pages: 45-52
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 11, 2016, Art. #7