izvorni znanstveni rad
During product development it was very important to do research in comparing the system functionality throughout its working operation and when unexpected parameters occur. In modelling of the system behaviour, the uncertain effects of the system due to the influence of the changing working environment was also considered here. The observed system was presented with its two models: structure model and behavioural model. The system structure model was represented in the matrix notation with the Design Structure Matrix (DSM). The second domain of the system, i.e. its behaviour, was modelled by the Model Predictive Control (MPC) method and the stability of the system was studied by using the second Lyapunov method. The mutual transfer of information between these two domains allows the creation of system variants suitable for working in uncertain situations. By combining the developed environment (Behaviour Prediction Framework) and its algorithm, and using existing computer tools (©LOOMEO and ©MATLAB), the research results were verified. This was done with a case study of an air handling unit used for air treatment in the food industry and clean rooms. While carrying out the simulation of the behaviour regarding the air conditioning system, the following facts about influential parameters were established. The most influential parameter for the systems stability was the environment temperature from -40 to -25 °C. The reason was that the heat transfer coefficient was then very large. In addition, the high air flow rate, which ranged from 3.6 to 7.8 m3/s, also greatly influenced the stability. System instability occurred with the smaller geometries (cross-sectional area – height x weight) of the air handling unit.
system structure, system behaviour, system prediction, system uncertainty, system stability, fuzzy logic
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