Dynamic synchronization optimization of beef atmosphere packaging system

Modified atmosphere packaging (MAP) of beef is a key tool to ensure its post-production shelf life. However, it is still a technical challenge to realize intelligent, dynamic, modified-atmosphere packaging of beef products on the production line to improve production and packaging efficiency. In thi...

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Veröffentlicht in:Journal of food engineering Jg. 380; S. 112162
Hauptverfasser: Li, You, Zhang, Luwei, Wu, Di, Li, Xinxing, Zhang, Xiaoshuan, Liu, Xingxing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.11.2024
Schlagworte:
Admittance control
algorithms
beef
Beef preservation
Improved whale optimization algorithm
Modified atmosphere packaging
shelf life
simulation models
Synchronized following
Improved whale optimization algorithm
Synchronized following
Modified atmosphere packaging
Beef preservation
Admittance control
ISSN:0260-8774, 1873-5770
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Zusammenfassung:Modified atmosphere packaging (MAP) of beef is a key tool to ensure its post-production shelf life. However, it is still a technical challenge to realize intelligent, dynamic, modified-atmosphere packaging of beef products on the production line to improve production and packaging efficiency. In this paper, we propose a dynamic and synchronized modified atmosphere packaging optimization strategy for beef based on admittance control. The purpose of synchronized, accurate, and efficient modified-atmosphere packaging of beef is achieved. Firstly, particle swarm optimization was designed to optimize the conductance parameters, which did not achieve good optimization results, so a whale optimization algorithm based on inertia weights as well as teaching strategy improvement was designed for optimization, and simulation analysis was carried out. The most important parts of the packaging process were also tested, such as the effect of synchronous following motion, the stability and ability to block interference, the accuracy of the Cartesian Coordinate Robot's repeated positioning, and the system's overall operation performance. The results show that the synchronous following error of the system is ±1%, and after the optimization of the improved whale optimization algorithm, the conduction model is reduced in both overshooting amount and regulation time, which improves the performance of the closed-loop following motion model. And the beef dynamic modified atmosphere packaging system, with the application of the algorithm, can complete the modified atmosphere packaging work stably, accurately, continuously, and efficiently. •A dynamic and synchronized modified atmosphere packaging optimization strategy for beef based on admittance control.•A particle swarm optimization method and whale algorithm are designed to optimize the system.•The optimized system was evaluated and validated in the processing of beef.•The improved atmosphere packaging system can complete the improved atmosphere packaging work stably and efficiently.
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ISSN:0260-8774
1873-5770
DOI:10.1016/j.jfoodeng.2024.112162