SUPERVISED TUNING OF A CHILLER WITH A COLD PHASE-CHANGE MATERIAL USING AN RSM-SMITH PREDICTOR
Keywords:
phase-change material, chiller, pasteurization, Smith predictor, RSM tuner
Abstract
The proposed work is focused on the tuning of the latent-heat storage of a PCM with MWCNT encapsulation for a chiller system in the milk-pasteurization process using an RSM-based predictive Smith controller. The PCM was synthesized using sodium polyacrylate and MWCNT particles, encapsulated in spherical balls stored in the IBT (ice bank tank of the chiller unit). Experimental work is conducted on the heat-transfer characteristics of the chiller unit with servo-operated flow-control valves based on the central composite design of experiments. The system is cascaded using a PID controller with a Smith predictor to stabilize the latent temperature of milk cooling in the chiller system. The system is considered to be a first-order transformation with the rise and settling time. The plant model is obtained, using the response-surface method based on the transfer function to minimize the error derivatives of the chiller system. Results of the proposed method show a robust performance in keeping the PCM temperatures and bacterial-growth value stabilized, allowing a less drastic control compared to the cascade-model predictive control.
References
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25. A.A. Rovira, P.W. Murrill, C.L. Smith. Tuning controllers for setpoint changes. Instrument Control Systems, 42 (1969), pp. 67-69.
2. V.K Mishra, L. Ramchandaran, Emerging Dairy Processing Technologies: Opportunities for the Dairy Industry, 1st Edition, John Wiley & Sons, New Jersey 2015, 33-70 doi:10.1002/9781118560471.ch2
3. S.Niamsuwan, P. Kittisupakorn, I.M Mujtaba, Predictive Control Strategy for Temperature Control for Milk Pasteurization Process. Proceedings of the 23 European Symposium on Computer Aided Process Engineering – ESCAPE 23,2013, 109–114. doi:10.1016/b978-0-444-63234-0.50019-1
4. Marimuthu Indumathy, Subramani Sobana, Rames C. Panda, Identification of high temperature short time milk pasteurization unit, Journal of Food Process Engineering,43 (2020) 7, 1-13, doi: 10.1111/jfpe.13410
5. J. J .Ibarrola, J. C.Guillén, J. M.Sandoval, & M. García-Sanz, Modelling of a high temperature short time pasteurization process. Food Control, 9 (1998) 5, 267–277. doi:10.1016/s0956-7135(98)00016-4
6. J. J. Ibarrola, J.M.Sandoval, M.Garcı́a-Sanz, & M.Pinzolas, Predictive control of a high temperature–short time pasteurisation process. Control Engineering Practice, 10 (2002) 7, 713–725 doi:10.1016/S0967-0661(02)00029-1
7. Sathit Niamsuwan, Paisan Kittisupakorn , M. Iqbal Mujtaba, Optimization approachto minimize energy consumption in pasteurized milk process, 2011 International Conference on Chemistry and Chemical Process, IPCBEE 10 2011, 35-39
8. S.Bucz, A Kozakova, PID Control for Industrial Processes, 2018,73-119, doi:10.5772/intechopen.76069
9. K. R.Morison, Steady-state control of plate pasteurisers, Food Control, 16 (2005) 1, 23–30 https://doi.org/10.1016/j.foodcont.2003.11.001
10. A.Negiz, A.Cinar, J.E.Schlesser, P.Ramanauskas, & D. J.Armstrong,W.Stroup, Automated control of temperature short time pasteurization, Food Control, 7 (1996) 6,309–315 doi.org/10.1016/S0956-7135(96)00048-5
11. E. D. J.Rasmussen, M.Errico, S.Tronci, Adaptive Feedback Control for a Pasteurization Process. Processes, 8(2020)8, 930. doi:10.3390/pr8080930//scw
12. WK Ho, OP Gan, EB Tay, EL Ang ,Performance and gain and phase margins of well-known PID tuning formulas, IEEE Transactions on Control Systems Technology , 4(1996) 4,473–477 doi: 10.1109/87.508897
13. H. Koivo, J. Tanttu, Tuning of PID conrollers: Survey of SISO and MIMO techniques, IFAC Proceedings Volume, 1991, 75-80 doi:10.1016/S1474-6670(17)51299-9
14. B Porter, AH Jones ,Genetic tuning of digital PID controllers, Electronic Letters, 28(1992)9,843–844 doi: 10.1049/el:19920533
15. AN Gundes, AB Ozguler, PID stabilization of MIMO plants, IEEE Transactions on Automatic Control, 52,(2007)8, 1502–1508 doi: 10.1109/TAC.2007.902763
16. C-H Hsieh, J-H Chou, Design of optimal PID controllers for pwm feedback systems with bilinear plant, IEEE Transactions on Control Systems Technology ,15 (2007)6:1075–1079 doi: 10.1109/TCST.2007.908084
17. Y.F Chan, M Moallem, W Wang , Design and implementation of modular FPGA-based PID controllers, IEEE Transactions on Industrial Electronics, 54(2007)4, 1898–1906, doi: 10.1109/TIE.2007.898283
18. K.C Sio, C.K Lee ,Stability of fuzzy PID controller, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 28(1998)4, 490–495 doi: 10.1109/3468.686710
19. K. J. Astrom, Adaptive feedback control, Proceedings of the IEEE, 1987, 185–217. doi:10.1109/proc.1987.13721
20. M.Reza, & A.Nemati, Applications of MATLAB in Science and Engineering,IntechOpen, Poland 2011,doi:10.5772/22657
21. E.Nakano, A.Jutan, Application of response surface methodology in controller fine-tuning. ISA Transactions, 33(1994)4, 353–366. doi:10.1016/0019-0578(94)90017-5
22. R.H. Myers, A.i. Khuri and W.H. Carter,Response surface methodology: 1966-1988, Technometrics, 31(1989),137-157 doi.org/10.2307/1268813
23. K. A. R .Ismail, O. C.Quispe, J. R. Henrı́quez, A numerical and experimental study on a parallel plate ice bank, Applied Thermal Engineering, 19(1999)2, 163–193. doi:10.1016/s1359-4311(98)00024-6
24. S.Sharma, L.Micheli, W.Chang, A. A.Tahir, K. S.Reddy, T. K.Mallick, Nano-enhanced Phase Change Material for thermal management of BICPV,Applied Energy, 208(2017), 719–733. doi.org/10.1016/j.apenergy.2017.09.076
25. A.A. Rovira, P.W. Murrill, C.L. Smith. Tuning controllers for setpoint changes. Instrument Control Systems, 42 (1969), pp. 67-69.
Published
2021-12-10
How to Cite
1.
S NS, M T. SUPERVISED TUNING OF A CHILLER WITH A COLD PHASE-CHANGE MATERIAL USING AN RSM-SMITH PREDICTOR. MatTech [Internet]. 2021Dec.10 [cited 2026Jul.16];55(6):763–771. Available from: https://mater-tehnol.si/index.php/MatTech/article/view/235
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