Étude expérimentale d’une méthode de commande intégrée permettant un équilibre entre grande efficacité et grande exécutabilité de la commande pour un système frigorifique au CO₂.

CO₂ refrigeration systems exhibit considerable promise for zero-carbon energy applications, though their increasing complexity poses significant challenges for efficiency optimization. While parallel compression configurations have demonstrated effectiveness as efficiency enhancement approaches, their sophisticated architectures require advanced control strategies. Unlike most traditional research that usually calculates different correlations between operation parameters and boundary conditions to instruct system optimal operation, this study develops an integrated control framework that coordinates all system components (main/parallel compressors, gas cooler, expansion valves, and bypass valves) through active control algorithms, departing from conventional correlation-based optimization methods. A series of active control algorithms was established, and an experimental platform was constructed with the strategy being tested. Experimental validation across gas cooler outlet temperatures (18–34 ◦C) achieved a maximum COP of 5.04 at 18 ◦C, representing a 35.2 % improvement over conventional systems. The control strategy maintained parameter tracking errors below 7.45 %, demonstrating robust performance under transient operating conditions.