Recent Applications of Advanced Control Techniques in Food Industry

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.

[1]  Thomas F. Edgar,et al.  MODELING AND CONTROL OF MICROELECTRONICS MATERIALS PROCESSING , 1992 .

[2]  Farouq S. Mjalli,et al.  Neural‐Networks‐Based Feedback Linearization versus Model Predictive Control of Continuous Alcoholic Fermentation Process , 2005 .

[3]  S. Linko,et al.  DEVELOPMENTS IN MONITORING AND CONTROL OF FOOD PROCESSES , 1998 .

[4]  D. M. Bruce,et al.  A Cost Function for Continuous-flow Grain Drying and its Use in Control , 1996 .

[5]  Hajime Asama,et al.  Object-oriented fuzzy expert system for on-line diagnosing and control of bioprocesses , 2004, Applied Microbiology and Biotechnology.

[6]  R. Hawley.  Advanced control of energy consumption , 2000 .

[7]  Patrick N. Royce,et al.  A Discussion of Recent Developments in Fermentation Monitoring and Control from a Practical Perspective , 1993 .

[8]  X. D. Chen.  TOWARDS A COMPREHENSIVE MODEL BASED CONTROL OF MILK DRYING PROCESSES , 1994 .

[9]  Timothy A. Haley,et al.  A survey of automation practices in the food industry , 2001 .

[10]  A. Kasperski,et al.  An adaptive fuzzy logic controller using the respiratory quotient as an indicator of overdosage in the baker's yeast process , 2004, Biotechnology Letters.

[11]  Gilles Trystram,et al.  Dry sausage ripening control integration of sensory-related properties , 2002 .

[12]  Thomas F. Edgar,et al.  Modeling and control of microelectronics materials processing , 1995 .

[13]  Brigitte Charnomordic,et al.  Knowledge discovery for control purposes in food industry databases , 2001, Fuzzy Sets Syst..

[14]  Michael Babb.  Process control steps ahead with digital fieldbus , 1997 .

[15]  José S. Torrecilla,et al.  A neural network approach for thermal/pressure food processing , 2004 .

[16]  Taizo Hanai,et al.  Temperature control of Ginjo sake mashing process by automatic fuzzy modeling using fuzzy neural networks , 1998 .

[17]  Gilles Trystram,et al.  Development of a control system using the fuzzy set theory applied to a browning process––towards a control system of the browning process combining a diagnosis model and a decision model––part II , 2004 .

[18]  Joseph S. Alford,et al.  Bioprocess control: Advances and challenges , 2006, Comput. Chem. Eng..

[19]  Thomas Becker,et al.  Fuzzy logic control and soft sensing applications in food and beverage processes , 2013 .

[20]  Weibiao Zhou,et al.  Artificial Neural Networks in Food Processing , 2010 .

[21]  Xiaoyan Zhang,et al.  Image Encryption Scheme Based on Balanced Two-Dimensional Cellular Automata , 2013 .

[22]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[23]  Gilles Trystram,et al.  The fuzzy set theory: a helpful tool for the estimation of sensory properties of crusting sausage appearance by a single expert , 2002 .

[24]  C. Venkateswarlu.  Model Predictive Control of Nonlinear Processes 109 X Model Predictive Control of Nonlinear Processes , 2022 .

[25]  Helge Didriksen,et al.  Model based predictive control of a rotary dryer , 2002 .

[26]  B. Bequette.  Nonlinear control of chemical processes: a review , 1991 .

[27]  Yasuhisa Abe,et al.  Application of fuzzy control theory to the sake brewing process , 1991 .

[28]  Michael J. McGrath,et al.  Integration of on-line quality control into the process control environment for cheese manufacturing , 1998 .

[29]  R. K. Singh,et al.  Knowledge-based fuzzy control of aseptic processing : Applications of immunobiosensors and bioelectronics in food sciences and quality control , 1994 .

[30]  P. Teissier,et al.  A hybrid recurrent neural network model for yeast production monitoring and control in a wine base medium , 1997 .

[31]  Elfed Lewis,et al.  Employing spectroscopic and pattern recognition techniques to examine food quality both internally and externally as it cooks in an industrial oven , 2004, European Workshop on Optical Fibre Sensors.

[32]  Carlos Bordons,et al.  Model based predictive control of an olive oil mill , 2008 .

[33]  Mustafa Türker,et al.  Dynamic Neural-Network-Based Model-Predictive Control of an Industrial Baker's Yeast Drying Process , 2008, IEEE Transactions on Neural Networks.

[34]  Y.-H. Zhu,et al.  Application of neural networks to lysine production , 1996 .

[35]  A. Isidori.  Nonlinear Control Systems: An Introduction , 1986 .

[36]  Emil Petre,et al.  Neural Networks Based Model Predictive Control for a Lactic Acid Production Bioprocess , 2011, KES.

[37]  Jay H. Lee,et al.  Model predictive control: past, present and future , 1999 .

[38]  Michael J. McGrath,et al.  Implementing a process control strategy for the food processing industry , 1998 .

[39]  P. Linko,et al.  Neural control of fed-batch baker's yeast fermentation , 1994 .

[40]  P. J. Goetz,et al.  Use of ultrasound for characterizing dairy products. , 2005, Journal of dairy science.

[41]  Ramdhane Dhib,et al.  Infrared Drying: From Process Modeling to Advanced Process Control , 2007 .

[42]  Nikola Kasabov,et al.  Application of computational intelligence for on-line control of a sequencing batch reactor (SBR) at Morrinsville sewage treatment plant , 1997 .

[43]  Wenfu Wu,et al.  Process control based on principal component analysis for maize drying , 2006 .

[44]  Rimvydas Simutis,et al.  Fuzzy-aided neural network for real-time state estimation and process prediction in the alcohol formation step of production-scale beer brewing , 1993 .

[45]  Gonzalo Acuña,et al.  Rotary Dryer Control Using a Grey-Box Neural Model Scheme , 2011 .

[46]  Carlos Bordons,et al.  Predictive controller with estimation of measurable disturbances. Application to an olive oil mill , 2004 .

[47]  G. R. Sullivan,et al.  ROBUST STABILITY ANALYSIS OF GENERIC MODEL CONTROL , 1992 .

[48]  Gauri S. Mittal,et al.  Computerized Control Systems in the Food Industry , 1996 .

[49]  Timothy A. Haley,et al.  Advanced process control techniques for the food industry , 1995 .

[50]  H. Abukhalifeh,et al.  Model Predictive Control of an Infrared-Convective Dryer , 2005 .

[51]  Davide Fissore,et al.  Freeze-drying cycle optimization using model predictive control techniques , 2011 .

[52]  Mohamed A. Hussein,et al.  Bioprocess monitoring and control via adaptive sensor calibration , 2011 .

[53]  Simon X. Yang,et al.  An Intelligent Control System for Thermal Processing of Biomaterials , 2007, 2007 IEEE International Conference on Networking, Sensing and Control.

[54]  Antonio Delgado,et al.  Observation and control of the beer fermentation using cognitive methods , 1953 .

[55]  R. Arjona,et al.  Automation of an olive waste industrial rotary dryer , 2005 .

[56]  Gilson A. Pinto,et al.  Remote engineering for a cheese whey biorefinery: an Internet-based application for process design, economic analysis, monitoring, and control of multiple plant sites , 2009, Bioprocess and biosystems engineering.

[57]  M. Whaley.  Using model-based controls in cereal drying , 1995 .

[58]  S Shioya,et al.  Fuzzy control of ethanol concentration its application to maximum glutathione production in yeast fed‐batch culture , 1993, Biotechnology and bioengineering.

[59]  S. Bennett,et al.  Development of the PID controller , 1993, IEEE Control Systems.

[60]  Weibiao Zhou,et al.  A constrained nonlinear multivariable control algorithm , 1990 .

[61]  J. Comaposada,et al.  Drying Control of Cured Sausages Through Online Measurement of Product Quality , 2007 .

[62]  Qin Zhang,et al.  FUZZY LOGIC CONTROL FOR A CONTINUOUS CROSSFLOW GRAIN DRYER , 1993 .

[63]  T Yamakawa.  A fuzzy logic controller. , 1992, Journal of biotechnology.

[64]  C. Ben Youssef,et al.  Modelling and adaptive control strategy in a lactic fermentation process , 2000 .

[65]  B. Postlethwaite,et al.  The development of a relational fuzzy model based controller for an industrial process , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[66]  Y. S. Choi,et al.  Predictive Neuro-fuzzy Controller for Multivariate Process Control , 1996 .

[67]  J. Corriou.  Process Control: Theory and Applications , 2010 .

[68]  S. K. Lee,et al.  Flexible distributed control of production line with the LON fieldbus technology: a laboratory study , 2003 .

[69]  Richard W. Hartel,et al.  Principles of food processing , 1997 .

[70]  C. Riverol,et al.  Application of advanced soft control strategies into the dairy industry , 2008 .

[71]  R. Sturrock,et al.  Use of ultrasound. , 1993 .

[72]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[73]  Luca Mesin,et al.  Control of coffee grinding with Artificial Neural Networks , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

[74]  José R. Pérez-Correa,et al.  Recent advances in process control and their potential applications to food processing , 1993 .

[75]  John Ringwood,et al.  LINEAR AND NONLINEAR MODEL PREDICTIVE CONTROL DESIGN FOR A MILK PASTEURIZATION PLANT , 2003 .

[76]  Alberto Isidori,et al.  Nonlinear control systems: an introduction (2nd ed.) , 1989 .

[77]  I. Ioannou,et al.  Expenences about operator/teeftnology cooperation using a fuzzy symbolic approach to decision support system design in food processes , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[78]  David W. Clarke,et al.  Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[79]  Pascal Dufour,et al.  Control Engineering in Drying Technology: Review and Trends , 2006 .

[80]  N. A. Corrêa,et al.  SELF-TUNING CONTROL OF EGG DRYING IN SPOUTED BED USING THE GPC ALGORITHM , 2002 .

[81]  Jeroen Lammertyn,et al.  Development and validation of "grey-box" models for refrigeration applications: a review of key concepts , 2006 .

[82]  A. Goula,et al.  Quality Control During Processing of Feta Cheese—NIR Application , 2001 .

[83]  Ricardo Simpson,et al.  Advances with intelligent on-line retort control and automation in thermal processing of canned foods , 2007 .

[84]  Liuping Wang,et al.  Continuous-time model predictive control of food extruder , 2008 .

[85]  W. E. Morgan,et al.  Trends in process control and instrumentation , 1991 .

[86]  Peter L. Lee,et al.  Generic Model Control — The Basics , 1993 .

[87]  David Clarke,et al.  Self-tuning control , 1979 .

[88]  M. Castro-Giraldez,et al.  Control of the brewing process by using microwaves dielectric spectroscopy , 2013 .

[89]  P. Ndegwa,et al.  Potential strategies for process control and monitoring of stabilization of dairy wastewaters in batch aerobic treatment systems , 2007 .

[90]  E. Camacho,et al.  Nonlinear Model Predictive Control: An Introductory Review , 2007 .

[91]  Richard D. Braatz,et al.  Advanced control of crystallization processes , 2002, Annu. Rev. Control..

[92]  Stephen J. Prosser,et al.  Smart sensors for industrial applications , 1997 .

[93]  Elfed Lewis,et al.  Using a reflection-based optical fibre system and Neural Networks to evaluate the quality of food in a large-scale industrial oven , 2004 .

[94]  Prashant Mhaskar,et al.  Latent variable model predictive control for trajectory tracking in batch processes: Alternative modeling approaches , 2011 .

[95]  Eduardo F. Camacho,et al.  Nonlinear Model Predictive Control , 2007 .

[96]  M. A. Garcı́a,et al.  Robustness of a proportional-integral with feedforward action control in a plant pilot spray dryer , 2002 .

[97]  Weibiao Zhou,et al.  Book reviewComputerized Control Systems in the Food Industry, Gauri S. Mittal (Ed.), Marcel Dekker (1997), ISBN: 0 8247 9757 4 , 1997 .

[98]  Qiang Liu,et al.  A model-predictive controller for grain drying , 2001 .

[99]  Wenfu Wu,et al.  Model Predictive Control of the Grain Drying Process , 2012 .

[100]  Michael A. Henson,et al.  Model predictive control of continuous yeast bioreactors using cell population balance models , 2000 .

[101]  C. Kravaris,et al.  Geometric methods for nonlinear process control. 1. Background , 1990 .

[102]  Eduardo F. Camacho,et al.  Model Based Predictive Controllers , 1999 .

[103]  Yoshifumi Okuyama.  Robust Stability Analysis , 2014 .

[104]  Jules Thibault,et al.  Neural network models for final process time determination in fermented milk production , 1994 .

[105]  B. Langhans,et al.  Einsatz von Fuzzy control für die Automatisierung einer Schnitzeltrocknung , 1995 .

[106]  Y.-H. Zhu,et al.  Application of neural network modelling in fuzzy extrusion control , 1992 .

[107]  Venkateswarlu Ch.,et al.  Model Predictive Control of Nonlinear Processes , 2010 .

[108]  J. Tan,et al.  Dual-target predictive control and application in food extrusion , 2000 .

[109]  F. V. D. Rhee,et al.  Knowledge based fuzzy control of systems , 1990 .

[110]  Gilles Trystram,et al.  How human expertise at industrial scale and experiments can be combined to improve food process knowledge and control , 2007 .

[111]  J. Richalet,et al.  Model predictive heuristic control: Applications to industrial processes , 1978, Autom..

[112]  N. Perrota,et al.  Fuzzy concepts applied to food product quality control : A review , 2015 .

[113]  Weibiao Zhou,et al.  Designing process controller for a continuous bread baking process based on CFD modelling , 2007 .

[114]  Cheng-Ching Yu,et al.  PID tuning rules for SOPDT systems: review and some new results. , 2004, ISA transactions.

[115]  Gülay Özkan,et al.  Control of dissolved oxygen concentration using neural network in a batch bioreactor , 2012, Comput. Appl. Eng. Educ..

[116]  Nitaigour-Premchand Mahalik,et al.  Extending fieldbus standards to food processing and packaging industry: A review , 2009, Comput. Stand. Interfaces.

[117]  A. Kasperski,et al.  A fuzzy logic controller to control nutrient dosage in a fed-batch baker's yeast process , 2000, Biotechnology Letters.

[118]  Jessica Lowell.  Neural Network , 2001 .

[119]  P. K. Aldridge,et al.  Automated system for the on-line monitoring of powder blending processes using near-infrared spectroscopy. Part I. System development and control. , 1996, Journal of pharmaceutical and biomedical analysis.

[120]  V. J. Vandoren.  Multivariable controllers enter the mainstream , 1997 .

[121]  Estrella Alvarez,et al.  Fuzzy logic control for the isomerized hop pellets production , 1999 .

[122]  Francis J. Doyle,et al.  Survey on iterative learning control, repetitive control, and run-to-run control , 2009 .

[123]  Gary Montague,et al.  Bioprocess applications of model-based estimation techniques , 2007 .

[124]  Mohamed Tarek Khadir,et al.  Application of Generalised Predictive Control to a MilkPasteurisation Process , 2003 .

[125]  Mark J. Willis,et al.  Modeling and control of a food extrusion process , 1997 .

[126]  Daniel Ibraim Pires Atala,et al.  Factorial design and simulation for the optimization and determination of control structures for an extractive alcoholic fermentation , 2001 .

[127]  Peter Roupas,et al.  Predictive modelling of dairy manufacturing processes , 2008 .

[128]  Carlos Vilas,et al.  Neurofuzzy model based predictive control for thermal batch processes , 2009 .

[129]  C. Riverol,et al.  Integration of fuzzy logic based control procedures in brewing , 2002 .

[130]  S Linko,et al.  Production of β-galactosidase by Streptococcus salivarius subsp thermophilus 11F , 1998, Journal of Industrial Microbiology and Biotechnology.

[131]  Pekka Linko,et al.  Fuzzy logic and neural network applications in food science and technology , 1993 .

[132]  Gilles Trystram,et al.  Optimal constrained non-linear control of batch processes: Application to corn drying , 1997 .

[133]  Weibiao Zhou,et al.  PROCESS/MODEL MISMATCH COMPENSATION FOR MODEL-BASED CONTROLLERS , 1989 .

[134]  Susan Linko,et al.  Strategies for the production of lipase by Candida rugosa; neural estimation of biomass and lipase activity , 1995 .

[135]  Gilles Trystram,et al.  FEED-BACK QUALITY CONTROL IN THE BAKING INDUSTRY USING FUZZY SETS , 2000 .

[136]  Otilia Popescu,et al.  A NEW APPROACH TO MODELING AND CONTROL OF A FOOD EXTRUSION PROCESS USING ARTIFICIAL NEURAL NETWORK AND AN EXPERT SYSTEM , 2001 .

[137]  Jay H. Lee,et al.  ITERATIVE LEARNING CONTROL APPLIED TO BATCH PROCESSES: AN OVERVIEW , 2006 .

[138]  Donal J. O'Callaghan,et al.  Modern process control techniques in the production of dried milk products - a review , 2005 .

[139]  G. R. Sullivan,et al.  IMPROVING CONTROL PERFORMANCE OF MULTIVARIABLE SYSTEMS BY MODIFICATION OF THE PROCESS DEADTIME STRUCTURE , 1990 .

[140]  Søren Balling Engelsen,et al.  Real-time modeling of milk coagulation using in-line near infrared spectroscopy , 2012 .

[141]  Fodil-Pacha Farid,et al.  Fuzzy control of the start-up phase of the food extrusion process , 2007 .

[142]  D. M. Jones,et al.  Comparison of black-, white-, and grey-box models to predict ultimate tensile strength of high-strength hot rolled coils at the Port Talbot hot strip mill , 2007 .

[143]  Ahmet Palazoglu,et al.  Introduction to Process Control , 2005 .

[144]  Nantawan Therdthai,et al.  HYBRID NEURAL MODELING OF THE ELECTRICAL CONDUCTIVITY PROPERTY OF RECOMBINED MILK , 2002 .

[145]  Luis A. Ricardez-Sandoval,et al.  Integration of design and control for chemical processes: A review of the literature and some recent results , 2009, Annu. Rev. Control..

[146]  H. C. Chen,et al.  Application of a fuzzy logic controller in temperature control of a pilot high-temperature short-time heat exchanger , 1992 .

[147]  Michel Benne,et al.  Artificial neural networks for modelling and predictive control of an industrial evaporation process , 2000 .

[148]  G. R. Sullivan,et al.  Generic model control (GMC) , 1988 .

[149]  R. Jager,et al.  Fuzzy Logic in Control , 1995 .

[150]  Gilles Trystram,et al.  Back-propagation of imprecision in a cheese ripening fuzzy model based on human sensory evaluations , 2006, Fuzzy Sets Syst..

[151]  S. Kupongsak,et al.  Application of fuzzy set and neural network techniques in determining food process control set points , 2006, Fuzzy Sets Syst..

[152]  Gianini Regina Luz,et al.  Dynamic modeling and control of soybean meal drying in a direct rotary dryer , 2010 .

[153]  Frank Hsu,et al.  Knowledge Discovery , 2014, Encyclopedia of Social Network Analysis and Mining.

[154]  K. Najim,et al.  Control of a bioreactor using a neural network , 1993 .

[155]  Qiang Liu,et al.  PH—Postharvest Technology: Automatic Control of Crossflow Grain Dryers, Part 1: Development of a Process Model , 2001 .

[156]  Jong Min Lee,et al.  Progress and challenges in control of chemical processes. , 2014, Annual review of chemical and biomolecular engineering.

[157]  H.C.S. Rughooputh,et al.  Intelligent controller for multiple-effect evaporator in the sugar industry , 2004, 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..

[158]  Manabendra Bhuyan,et al.  Measurement and Control in Food Processing , 2006 .

[159]  F. Cleary,et al.  Development of a low cost data acquisition system for milk powder production line monitoring , 1999 .

[160]  Eric D. Knapp.  About Industrial Networks , 2015 .

[161]  Jay H. Lee,et al.  Model predictive control: Review of the three decades of development , 2011 .

[162]  Valerie Davidson,et al.  Fuzzy control system for peanut roasting , 1999 .

[163]  A. VasickaninovÃ,et al.  Fuzzy Model-based Neural Network Predictive Control of a Heat Exchanger , 2010 .

[164]  Georges Corrieu,et al.  Decision support system design using the operator skill to control cheese ripening––application of the fuzzy symbolic approach , 2004 .

[165]  Mi Berto,et al.  DESIGN AND PERFORMANCE OF CONVENTIONAL AND FUZZY CONTROLS FOR A HIGH TEMPERATURE SHORT TIME PASTEURIZATION SYSTEM , 2013 .

[166]  José S. Torrecilla,et al.  Optimization of an artificial neural network for thermal/pressure food processing: Evaluation of training algorithms , 2007 .

[167]  Wenfu Wu,et al.  Parameters Online Detection and Model Predictive Control during the Grain Drying Process , 2013 .

[168]  O. Paquet-Durand,et al.  Monitoring baking processes of bread rolls by digital image analysis , 2012 .

[169]  C. R. Cutler,et al.  Dynamic matrix control¿A computer control algorithm , 1979 .

[170]  Weibiao Zhou,et al.  A NEW MULTIVARIABLE DEADTIME CONTROL ALGORITHM , 1990 .

[171]  Mustafa Türker,et al.  Adaptive Neuro-Fuzzy-Based Control of Drying of Baker's , 2010 .

[172]  Tormod Næs,et al.  A design and analysis strategy for situations with uncontrolled raw material variation , 2004 .

[173]  P. R. Patnaik,et al.  A recurrent neural network for a fed-batch fermentation with recombinant Escherichia coli subject to inflow disturbances , 1997 .

[174]  Faieza Abdul Aziz,et al.  Advanced Manufacturing Systems in Food Processing and Packaging Industry , 2013 .

[175]  Pekka Linko,et al.  An expert system in enzyme production control , 1990 .

[176]  Prashant Mhaskar,et al.  Latent Variable Model Predictive Control (LV-MPC) for trajectory tracking in batch processes , 2010 .

[177]  Tadeusz Kudra,et al.  Energy Aspects in Drying , 2004 .

[178]  C. Curt,et al.  Caractérisation de produits et de procédés alimentaires par conductimétrie électrique , 1997 .

[179]  Weibiao Zhou,et al.  AN ADAPTIVE STRATEGY FOR CONSTRAINED GENERIC MODEL CONTROL , 1990 .