RE-ENGINEERING THE SOLAR DRYER SISTEM WITH SURAM’s FUZZY RULE

Volume 8, Issue 1, February 2023     |     PP. 1-24      |     PDF (1754 K)    |     Pub. Date: January 1, 2023
DOI: 10.54647/computer520329    99 Downloads     160566 Views  

Author(s)

Zakarias Situmorang, Universitas Katolik Santo Thomas- Indonesia
Parasian D.P. Silitonga, Universitas Katolik Santo Thomas- Indonesia

Abstract
Solar drying systems have progressed quite rapidly with their utilization, both in terms of technical and algorithmic. At first the drying system only paid attention to the achievable drying temperature, but along with advances in technology the drying system has been able to meet industrial needs, namely to produce drying products that are ready to be re-engineered into daily necessities.
Utilization of artificial intelligent in the solar drying system is realized by using the SURAM’s Fuzzy Rule has taken into account 8 parameters in the form of drying temperature, dryer humidity, ambient temperature, ambient humidity, solar energy, moisture content of the material being dried and wind speed according to the location of the solar drying process. Even in the industrial world, it comes to the type of material to be dried, such as coffee, chocolate, tea, tobacco, and wood.
The process will take place by using an operational table in the form of a look up table on the actuator, namely how long the damper, sprayer and heater work according to the material drying schedule.

Keywords
SURAM’s Fuzzy Rule, look up table, drying schedule

Cite this paper
Zakarias Situmorang, Parasian D.P. Silitonga, RE-ENGINEERING THE SOLAR DRYER SISTEM WITH SURAM’s FUZZY RULE , SCIREA Journal of Computer. Volume 8, Issue 1, February 2023 | PP. 1-24. 10.54647/computer520329

References

[ 1 ] Situmorang, Z, 1989, The effect of the angle of incidence of solar energy on the collector system of the KFA model sterilizer, USU physics undergraduate thesis, Medan
[ 2 ] Situmorang, Z, 1998, Quadratic Optimal Regulator Design for 100 m3 Capacity Solar Heat Wood Drying Chamber, Master Thesis, ITB Bandung
[ 3 ] Situmorang, Z, 2009, Intelligent Fuzzy Controller for Process of a Solar Energy Wood Dry Kiln, Doctoral dissertation, UGM Yogjakarta, 2009
[ 4 ] Dion,J.M., L.Dugard, A.Pranco, N.M. Tri, J.W.Horwood., 1991, “MIMO Adaftive Constrained Predictive Control Case Study : An Environmental Test Chamber”, Automatica,27, 611- 626, Pergamon-Press
[ 5 ] Haque.M.N., 2002, Modelling of Solar Kilns and The Development of An Optimised Schedule for Drying Hardwood Timber, Thesis Ph.D., Department of Chemical Engineering, University of Sydney., 354p.
[ 6 ] Klir,J.G., Bo Yuan, 1995, “Fuzzy Sets and Fuzzy Logic (Theory and Applications)”, Prentice-Hall International, Inc,New Jersey
[ 7 ] Patrick P.K. L., and Natalie R.Spooner, 1995, “Climatic control of a storage chamber using fuzzy logic”, Proceedings of the 2nd New Zealand Two Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES’95) © 1995 IEEE
[ 8 ] Situmorang, Z., Retantyo Wardoyo., Sri Hartati., Jazi Eko Istiyanto, 2009a, . The Schedule of Optimal Fuzzy Controller Gain with Multi Model Concept for a Solar Energy Wood Drying Process Kiln, International Journal Optimization dan Quality Manajemen, Volume 15 No.2 Tahun 2009
[ 9 ] Situmorang, Z., Retantyo Wardoyo., Sri Hartati., Jazi Eko Istiyanto, 2009b., Computation of Parameteric Adaptive Fuzzy Controller for Wood Drying System, International Conference on Power Control And Optimization (PCO-2009),Bali, Indonesia 1-3, Juni 2009.
[ 10 ] Situmorang, Z., Retantyo Wardoyo., Sri Hartati., Jazi Eko Istiyanto, 2009c., Fuzzy Rule Suram for Control System of a Solar Energy Wood Drying Chamber, International Conference on Power Control And Optimization (PCO-2009),Bali, Indonesia 1-3, Juni 2009.
[ 11 ] Solar Kiln Designs Solar Heated, Lumber Dry Kiln Designs http://www.woodweb.com/ knowledge_base/Solar_Kiln_Designs_2.html, 27-11-2007
[ 12 ] Skuratov. N.V., 2003, Computer Simulation and Dry Kiln Control, 8th International IUFRO Wood Drying Conference, page 406 – 412
[ 13 ] Tang.K.S., Kim Funh Man, Guanrong Chen, and Sam Kwong, 2001.,”An Optimal Fuzzy PID Controller”.’ IEEE Transactions on Industrial Electronics, Vo. 48, N0. 4, pp. 757 – 765
[ 14 ] Wang, X.G. Liu, W. Gu, L. Sun, C.J. Gu, C.E. de Silva, C.W., 2001, Development of An Intelligent Control System for wood drying proceeses , Advanced Intelligent Mechatronics Proceedings. 2001 IEEE/ASME International Conference. Vol.I, page : 371 – 376.