Recent Applications of Advanced Control Techniques in Food Industry

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• 作者：Turkay Kondakci ; Weibiao Zhou
• 关键词：Process control ; Food industry ; Model ; based control ; Fuzzy logic ; Artificial neural network ; Advanced process control
• 刊名：Food and Bioprocess Technology
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：10
• 期：3
• 页码：522-542
• 全文大小：
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Food Science; Chemistry/Food Science, general; Agriculture; Biotechnology;
• 出版者：Springer US
• ISSN：1935-5149
• 卷排序：10

文摘

Process control has become increasingly important for the food industry since the last decades due to its capability of increasing yield, minimizing production cost, and improving food quality. New developments for control strategies such as artificial neural networks and model-based controls as well as their applications have brought several new prospects to the food industry. Food processes are mostly nonlinear and show different process dynamics with various raw materials and different processing conditions. Therefore, advanced process control techniques are highly invaluable compared to classical control approaches. In this review, advanced control strategies, particularly model-based controllers, fuzzy logic controllers, and neural network-based controllers, are firstly described with their main characteristics. A number of applications of the advanced control strategies are then discussed according to different food processing industries such as baking, drying, fermentation/brewing, dairy, and thermal/pressure food processing.