PERANCANGAN PENGATUR SUHU RUANG PEMBAKARAN PADA TUNGKU PIROLISIS BRIKET BIOMASSA MENGGUNAKAN ALGORITMA LOGIKA FUZZY
| Main Authors: | , AULIA ULLAH, , Prof. (Emr). Adhi Susanto, M.Sc., Ph.D. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2011
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/90478/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53550 |
Daftar Isi:
- Biomass energy is one of the earliest forms of energy sources known to man. It is an energy source relatively easier for use and accessible compared with other energy sources. The use of biomass as the easiest energy sources is by direct fire. Pyrolysis is one of the processes frequently used by society and entrepreneurs of charcoal briquette to increase the quality of biomass-based energy. Technology used in the process is relatively simple, so that the quality of charcoal produced is not maximal. One of the ways to increase the quality of charcoal produced from pyrolysis process is to increase the quality of combustion in combustion chamber as a provider of heat for pyrolysis process. The objective of this study is to design tools to regulate the room temperature of combustion chamber in the pyrolysis furnace of biomass briquette using fuzzy logic algorithm. The tools designed were in the form of blowers and a set of blower power controller. Blowers were used to supply air from outside into combustion chamber and the controller was used to control the speed of blower motor rotation. Control algorithm used was fuzzy logic algorithm. Variables used were the membership function of input error (difference between output and setpoint), the membership function of input derror (the rate of error change), and the membership function of output and rules. From some of these variables the membership function of output and fuzzy rules will be varied. The membership functions of output were those of output 1 and output 2, while those of the rules were those of rule 1 and rule 2. Result of the experiment indicates that the room temperature controller of combustion using a fuzzy logic algorithm for the control of change in combustion chamber temperature produced a fairly good outcome. From the experiment, the best responses were found in the tools using the membership functions of output 1 and rule 1. Using these process conditions, the temperature responses was more stable and could be detained longer than that using the condition of other research processes.