This paper presents a NMPC of a supermarket refrigeration system. This is a hybrid process involving switched nonlinear dynamics and discrete events, on/off manipulated variables (valves and compressors), continuous controlled variables (goods temperatures) and finally, several operation constraints. The hybrid controller is based on a parameterization of the on/off control signals in terms of ...

A typical characteristic of refrigeration compressor performance tests is their long duration. A reduction in the time periods related to this activity can be achieved using unsteady-state data analysis. This paper presents an original approach to predicting compressor performance using Bayesian networks and a hybrid Fuzzy–Bayesian network. All analysis was performed using real test data. 2011 ...

This paper describes the development and experimental validation of a multi-layer hybrid controller for optimizing energy management in a solar air conditioning plant. The hybrid nature of the process is due to its multi-mode structure: the refrigeration circuit can be fed by flat solar collectors, a storage system, by an auxiliary gas heater, or by a combination of them. The selection of the o...

One of the major challenges towards a broad industrial acceptance of hybrid systems techniques and tools is the large number of distinct modeling formalisms and the resulting manual effort for the toolbased solution of many complex design or analysis tasks. A promising approach to achieve inter-operability between hybrid systems tools is to develop automatic translations of their formalisms via...

This paper presents a Model Predictive Control scheme in connection with the Mixed Logical Dynamical framework, which tackles the modelling and optimal control problem of supermarket refrigeration systems. The latter are hybrid systems with switched nonlinear dynamics and discrete-valued input variables such as valves. Simulation results indicate the potential increase in efficiency and reduced...