Hybrid Model Predictive Control in Supermarket Refrigeration Systems

Predictive hybrid control of the supermarket refrigeration benchmark process

“…However, Larsen et al (2005) used a different refrigerant, a different suction manifold model, and a much different compressor suction pressure than the later work of Sonntag et al (2007Sonntag et al ( , 2008. As will be emphasized in the present work, such choices have a profound impact on the potential to reduce compressor cycling, and comparisons are likely to be misleading unless the scenarios are identical.…”

“…This imposes a significant computational burden and results were presented for a small system (two display cases and two compressors having identical capacities). Engell (2007, 2008) later achieved better results and suggested that use of an LTI prediction model must have had a negative impact on the results of Larsen et al (2005).…”

“…In contrast to Larsen et al (2005), the present work uses a decentralized structure and SISO, LTI models derived from input/ output observations. Also, the predictive control formulation avoids the need for on-line optimization.…”

“…A notable earlier use of LTI-based predictive control is the work of Larsen, Geyer, and Morari (2005), which accounted explicitly for the on/off actuators to develop a predictive controller using the approach of Bemporad and Morari (1999). This imposes a significant computational burden and results were presented for a small system (two display cases and two compressors having identical capacities).…”

The potential of Economic MPC for power management

“…Model Predictive Control (MPC) for constrained systems has emerged during the last 30 years as the most successful methodology for control of industrial processes [2]- [4]. MPC is increasingly being considered for refrigeration systems [5]- [7] and for power production plants [8], [9]. Traditionally, MPC is designed using objective functions penalizing deviations from a given set-point.…”