KOMPUTASI PARAMETER ADAPTIF FUZZY CONTROLLER PADA SISTEM PENGERING KAYU

Zakarias Situmorang

Abstract


Komputasi terhadap parameter kontrol menjadi penting dilakukan sesuai hasil pengukuran pada sebuah prototipe sistem pengering kayu, dengan tujuan untuk mendapatkan hasil yang lebih riil. Parameter yang dianalisis berkaitan dengan penerapan adaptif fuzzy controller (AFC) pada prototipe alat pengering kayu tenaga panas surya, yaitu berupa besaran control priode sistem untuk perlakukan yang berbeda-beda dari aktuator. AFC di implementasikan dengan mekanisme adaptasi yang diarahkan bekerja pada sistem ketika terjadi perubahan humiditi drying dari sebuah jadwal pengeringan kayu sengon, tetapi dengan kondisi temperatur drying yang tetap. Mekanisme ini membandingkan model reference dan situasi riil ruang pengering sesuai kondisi cuaca untuk mendapatkan kondisi yang diinginkan. Hasil implementasi disajikan dalam bentuk look-up table dari perlakuan aktuator pada rule AFC.


References


Alvarez-L.I., Orestes Llanes-Santiago, José Luis Verdegay, 2005.,”Drying Process of tobacco leaves by using a fuzzy controller”., Fuzzy sets and systems, 150 (2005), 493 – 506, www.elsevier.com/locate/fss Buckley,J.J., 1997, “Universal Fuzzy Controllers”, Automatica,33, 1771 1773, Pergamon-Press.

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

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.

Joshi, C.B., B.D.Pradhan, and T.P.Pathak, 1999, Application of Solar Drying Systems in Rural Nepal, Research Center for Applied Science and Technolofy (RECAST) Tribhuvan University, Kathmandu Nepal.

Kumagai Gumi Co, Ltd, 1996,”Solar Heat Timber Dry System Data Logging Panel and Sensor”, Chino Corporation

Larsson, R., 2003, Implementation of Adaptive Control Systems in Industrial Dry Kiln, 8th International IUFRO Wood Drying Conference, page 397 – 400.

Landau. I.D., 1990, “System Identification And Control Design”, Prentice-Hall International, Inc, New-Jersey

Laurenzi. W., V.Popa, Gh.Comsa, 2003, Computer Aided Design Of Drying Schedules In Order To Control The Drying Process, 8th International IUFRO Wood Drying Conference, page 302 – 307.

Mamdani, E.H., and Assilian, S. 1975., “An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller”, Int.J.Man mach. Studies, vol 7 no. 1., hal 1-13.

Murat., K., and Adnan Yazici, 2005.,”A Fuzzy Knowledge-Based System for Intelligent Retrieval”., IEEE Transactions on Fuzzy Systems, Vol. 13 No. 3, p. 317-330.

Müller, J., 2007, Solar Drying Kilns for Wood, Thermo-System Industrie- und Troknungstechnik GmbH, Germany, www.thermo-system.com, 23-11-2007

Nogueira, A., et all, 2005, Simulation and control strategies for an energetically efficient wood drying process, EFITA/WCCA Joint Congress on IT in Agriculture, Vila Real Portugal, page 244 -251.

Oliver. H., and Thomas Doersam, 1995., “Process Automation using Adaptive Fuzzy Control”.,Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES’95) ©1995 IEEE

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

Pham.T.D., 2002.,”A New Approach for Calculating Implications of Fuzzy Rules’.,Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS’02)

Ray. D.C., Neelesh Gataani., Enrique Del Castillo. And Paul Blankenhorn, 2005, Time Series Techniques for Dynamics: real time control of Wood-Drying Proceses, Forrest Products Journal, Vol 55., No. 10., pp. 64 - 71

Bitmead.R.R., Mechel Gevers, Vincent Wertz, 1990, “Adaptive Optimal Control”, The Thinking Man’s GPC, Prentice-Hall International, Inc, New York.

Sadati.N., Mahdi Bagherpour, and Rasoul Ghadami, 2005.,”Adaptive Multi-Model CMAC-Based Supervisory Control for Uncertain MIMO Systems”., Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI’05) © IEEE

Sànchez-S.S., R.Senhadji, A.Cabrera, I.Baturone, C.J.Jiménez, A.Barriga, 2002., “Prototyping of Fuzzy Logic- Based Controllers Using Standard FPGA Development Boards”., Proceedings of the 13th IEEE International Workshop on Rapid system Prototyping (RSP’02)

Situmorang, Z., Retantyo Wardoyo., Sri Hartati., Jazi Eko Istiyanto, 2008b., . The Schedule of Optimal Fuzzy Controller Gain with Multi Model Concept for a Solar Energy Wood Drying Process Kiln, International Conference on Power Control And Optimization (PCO-2008), Chiengmai, Thailand, 18-20, July 2008.

Situmorang, Z., Retantyo Wardoyo., Sri Hartati., Jazi Eko Istiyanto, 2008c., . The Schedule of Optimal Fuzzy Controller Gain with Multi Model Concept for a Solar Energy Wood Drying Process Kiln, Proceeding published online by American Institut of Physics, October 2008.

Skuratov. N.V., 2003, Computer Simulation and Dry Kiln Control, 8th International IUFRO Wood Drying Conference, page 406 – 412

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

Tomescu. L.M., and Gheorghe Petrov, 2006, A Stability Analysis Method for Nonlinear System with Fuzzy Logic Contoller, Proceedings of the Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC’06) © IEEE Computer Society

Wang. L.X., 1997, “A Course in Fuzzy Systems And Control”, Prentice-Hall International, Inc, New-Jersey

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.

Widłak, H., Jerzy Majka, 2004, Investigation Of Relation Between Moisture Content Decrease and Water Mass Flow Removed From A Kiln, Electronic Journal Of Polish Agricultural niversities – Wood Technology Vol.7 Issue 2

Zadeh, L.A, 1965, “ Fuzzy Sets” Information and Control, vol.8, hal 338 353


Refbacks

  • There are currently no refbacks.
slot gacor slot gacor hari ini slot gacor 2025 demo slot pg slot gacor slot gacor