Authors: Turkay Kondakci Weibiao Zhou
Publish Date: 2016/12/02
Volume: 10, Issue: 3, Pages: 522-542
Abstract
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 modelbased 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 modelbased controllers fuzzy logic controllers and neural networkbased 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 processingThe authors are grateful to the National University of Singapore Suzhou Research Institute under the grant number NUSRI2011007 and Jiangsu Province under the Scientific Research Platform scheme The first author also likes to thank the Agency for Science Technology and Research ASTAR Singapore and the National University of Singapore NUS for financial support
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