Multi-layer health-aware economic predictive control of a pasteurization pilot plant

Aadaleesan, P., Miglan, N., Sharma, R. and Saha, P. (2008). Nonlinear system identification using Wiener type Laguerre-wavelet network model, Chemical Engineering Science 63(15): 3932-3941.10.1016/j.ces.2008.04.043Open DOISearch in Google Scholar

Alamir, M. (2009). A framework for monitoring control updating period in real-time NMPC schemes, in L. Magni et al. (Eds.), Nonlinear Model Predictive Control, Springer, Berlin/Heidelberg, pp. 433-445.10.1007/978-3-642-01094-1_34Open DOISearch in Google Scholar

Alastruey, C.F., De la Sen, M. and García-Sanz, M. (1999). Modelling and identification of a high temperature short time pasteurization process including delays, Proceedings of the 7th Mediterranean Conference on Control and Automation, Haifa, Israel, pp. 28-30.Search in Google Scholar

Armfield (2015). Process plant trainer PTC23-MKII, Instruction manual, www.discoverarmfield.com/en/products/view/pct23/process-plant-trainer-process-control-trainer.Search in Google Scholar

de Jesus Barradas-Berglind, J., Wisniewski, R. and Soltani, M. (2015). Fatigue damage estimation and data-based control for wind turbines, IET Control Theory & Applications 9(7): 1042-1050.10.1049/iet-cta.2014.0730Search in Google Scholar

Downing, S.D. and Socie, D. (1982). Simple rainflow counting algorithms, International Journal of Fatigue 4(1): 31-40.10.1016/0142-1123(82)90018-4Open DOISearch in Google Scholar

Ellis, M., Durand, H. and Christofides, P.D. (2014). A tutorial review of economic model predictive control methods, Journal of Process Control 24(8): 1156-1178.10.1016/j.jprocont.2014.03.010Search in Google Scholar

Endo, T., Mitsunaga, K. and Nakagawa, H. (1967). Fatigue of metals subjected to varying stress-prediction of fatigue lives, Preliminary Proceedings of the Chugoku-Shikoku District Meeting, Tokyo, Japan, pp. 41-44.Search in Google Scholar

Fonte, M., Anes, V., Duarte, P., Reis, L. and Freitas, M. (2015). Crankshaft failure analysis of a boxer diesel motor, Engineering Failure Analysis 56: 109-115.10.1016/j.engfailanal.2015.03.014Search in Google Scholar

González, A., Adam, E. and Marchetti, J. (2008). Conditions for offset elimination in state space receding horizon controllers: A tutorial analysis, Chemical Engineering and Processing: Process Intensification 47(12): 2184-2194.10.1016/j.cep.2007.11.011Search in Google Scholar

Grosso, J.M., Ocampo-Martinez, C. and Puig, V. (2016). Reliability-based economic model predictive control for generalised flow-based networks including actuators’ health-aware capabilities, International Journal of Applied Mathematics and Computer Science 26(3): 641-654, DOI: 10.1515/amcs-2016-0044.10.1515/amcs-2016-0044Open DOISearch in Google Scholar

Hammerum, K., Brath, P. and Poulsen, N.K. (2007). A fatigue approach to wind turbine control, Journal of Physics: Conference Series 75(1): 012081.10.1088/1742-6596/75/1/012081Search in Google Scholar

Hrovat, D., Di Cairano, S., Tseng, H.E. and Kolmanovsky, I.V. (2012). The development of model predictive control in automotive industry: A survey, IEEE International Conference on Control Applications (CCA), Dubrovnik, Croatia, pp. 295-302.10.1109/CCA.2012.6402735Search in Google Scholar

Ibarrola, J., Guillén, J., Sandoval, J. and García-Sanz,M. (1998). odelling of a high temperature short time pasteurization process, Food Control 9(5): 267-277.10.1016/S0956-7135(98)00016-4Open DOISearch in Google Scholar

Ibarrola, J., Sandoval, J., Garcıa-Sanz, M. and Pinzolas, M. (2002). Predictive control of a high temperature-short time pasteurisation process, Control Engineering Practice 10(7): 713-725.10.1016/S0967-0661(02)00029-1Open DOISearch in Google Scholar

Karimi Pour, F., Ocampo-Martinez, C. and Puig, V. (2017a). Output-feedback model predictive control of a pasteurization pilot plant based on an LPV model, Journal of Physics: Conference Series 783: 012029.10.1088/1742-6596/783/1/012029Search in Google Scholar

Karimi Pour, F., Puig, V. and Ocampo-Martinez, C. (2017b). Health-aware model predictive control of pasteurization plant, Journal of Physics: Conference Series 783(1): 012030.10.1088/1742-6596/783/1/012030Search in Google Scholar

Khadir, M.T. (2011). Enthalpy predictive functional control of a pasteurisation plant based on a plate heat exchanger, International Journal of Modelling, Identification and Control 13(1-2): 78-87.10.1504/IJMIC.2011.040492Search in Google Scholar

Körber, A. (2014). Extreme and Fatigue Load Reducing Control for Wind Turbines: A Model Predictive Control Approach Using Robust State Constraints, PhD thesis, Technische Universität Berlin, Berlin.Search in Google Scholar

Kwakernaak, H. and Sivan, R. (1972). Linear Optimal Control Systems, Vol. 1, Wiley, New York, NY. Search in Google Scholar

Lee, Y.L. (2005). Fatigue Testing and Analysis: Theory and Practice, Vol. 13, Butterworth-Heinemann, Oxford.Search in Google Scholar

Łobos, E. and Momot, M. (2002). Reliability design of complex systems by minimizing the lifetime variance, International Journal of Applied Mathematics and Computer Science 12(4): 553-557.Search in Google Scholar

Marin, J.C., Barroso, A., Paris, F. and Canas, J. (2008). Study of damage and repair of blades of a 300 kW wind turbine, Energy 33(7): 1068-1083.10.1016/j.energy.2008.02.002Open DOISearch in Google Scholar

Miner, M.A. (1945). Cumulative damage in fatigue, Journal of Applied Mechanics 12(3): 159-164.10.1115/1.4009458Search in Google Scholar

Mokhtar, W., Taip, F.S., Aziz, N. and Noor, S. (2012). Process control of pink guava puree pasteurization process: Simulation and validation by experiment, International Journal on Advanced Science, Engineering and Information Technology 2(4): 302-305.10.18517/ijaseit.2.4.209Search in Google Scholar

Montes de Oca, S., Puig, V. and Blesa, J. (2012). Robust fault detection based on adaptive threshold generation using interval LPV observers, International Journal of Adaptive Control and Signal Processing 26(3): 258-283.10.1002/acs.1263Open DOISearch in Google Scholar

Musallam, M. and Johnson, C.M. (2012). An efficient implementation of the rainflow counting algorithm for life consumption estimation, IEEE Transactions on Reliability 61(4): 978-986.10.1109/TR.2012.2221040Open DOISearch in Google Scholar

Muske, K.R. and Badgwell, T.A. (2002). Disturbance modeling for offset-free linear model predictive control, Journal of Process Control 12(5): 617-632.10.1016/S0959-1524(01)00051-8Open DOISearch in Google Scholar

Niamsuwan, S., Kittisupakorn, P. and Mujtaba, I.M. (2014). Control of milk pasteurization process using model predictive approach, Computers & Chemical Engineering 66: 2-11.10.1016/j.compchemeng.2014.01.018Open DOISearch in Google Scholar

Niesłony, A. (2009). Determination of fragments of multiaxial service loading strongly influencing the fatigue of machine components, Mechanical Systems and Signal Processing 23(8): 2712-2721.10.1016/j.ymssp.2009.05.010Search in Google Scholar

Ocampo, R. (2008). Fatigue failures in pumps. Part 1, World Pumps 2008(500): 42-45. 10.1016/S0262-1762(08)70151-2Search in Google Scholar

Odgaaard, P.F., Knudsen, T., Overgaard, A., Steffensen, H. and Jørgensen, M. (2015). Importance of dynamic inflow in model predictive control of wind turbines, IFACPapersOnLine 48(30): 90-95.10.1016/j.ifacol.2015.12.359Search in Google Scholar

Osgood, C.C. (2013). Fatigue Design, International Series on the Strength and Fracture ofMaterials and Structures, Elsevier, Cranbury, NJ.Search in Google Scholar

Pannocchia, G. and Rawlings, J.B. (2003). Disturbance models for offset-free model-predictive control, AIChE Journal 49(2): 426-437.10.1002/aic.690490213Open DOISearch in Google Scholar

Rosich, A. and Ocampo-Martinez, C. (2015). Real-time experimental implementation of predictive control schemes in a small-scale pasteurization plant, in S. Olaru et al. (Eds.), Developments in Model-Based Optimization and Control, Springer, Cham, pp. 255-273.10.1007/978-3-319-26687-9_12Search in Google Scholar

Rychlik, I. (1987). A new definition of the rainflow cycle counting method, International Journal of Fatigue 9(2): 119-121.10.1016/0142-1123(87)90054-5Open DOISearch in Google Scholar

Sanchez, H., Escobet, T., Puig, V. and Odgaard, P.F. (2015). Health-aware model predictive control of wind turbines using fatigue prognosis, IFAC-PapersOnLine 48(21): 1363-1368.10.1016/j.ifacol.2015.09.715Search in Google Scholar

Yetendje, A., Seron, M. and De Doná, J. (2012). Robust multisensor fault tolerant model-following MPC design for constrained systems, International Journal of Applied Mathematics and Computer Science 22(1): 211-223, DOI: 10.2478/v10006-012-0016-7.10.2478/v10006-012-0016-7Open DOISearch in Google Scholar