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System Identification Methods for Building Room Temperature Control


Dominik Keusch

Master Thesis, FS13 (10223)

The present Master-Thesis was conducted in collaboration with the company SAUTER following the goal of examining different system identification methods for room temperature control. Efficient and accurate modelling techniques have become more and more important in the context of MPC and building automation. An office type test room - located in Basel - was used for experiments and was first modelled analytically using resistance-capacitance (R-C) modelling techniques. Additionally, a numerical simulation using the Carnot blockset was set up. In a second step, different system identification methods were applied to the room. Using the measurement data of a PRBS input signal, the Frequency Response Function (FRF) was derived and a transfer function was fitted. Influences such as sensor location, sensor quality and disturbances were found to change the behavior substantially and were examined further. The effect of mixing dynamics was seen clearly in the transfer functions and was one of the main differences compared to the R-C type models. The second identification method considered was a relay feedback approach. The identified frequency points coincided well with the FRF points. Using additional validation data, the different models were compared. The model from the FRF measurements showed reasonable accuracy, however the DC gain was not accurate and was estimated in a second step. The final model was implemented in a model predictive controller, which performed successfully a simple reference tracking task.


Type of Publication:

(12)Diploma/Master Thesis

D. Sturzenegger

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2013:IFA_4518
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