Fuzzy Logic Controller (FLC) for the control of Particulate Matter (PM) emission in wet scrubber system
Air pollution such as particulate matter (PM) emitted from industries result in several thousands of deaths. In recognition of this global threat, a large number of abatement measures have been taken to minimize the emission of this pollutant. Wet scrubber system has been the most widely used cont...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/45230/ http://irep.iium.edu.my/45230/ http://irep.iium.edu.my/45230/ http://irep.iium.edu.my/45230/1/45230.pdf |
| Summary: | Air pollution such as particulate matter (PM) emitted from industries result in several thousands of
deaths. In recognition of this global threat, a large number of abatement measures have been taken to minimize
the emission of this pollutant. Wet scrubber system has been the most widely used control device for PM
contaminants. Its operating variables (gas velocity, temperature profile, particle size, liquid droplet’s size,
terminal settling velocity of liquid droplets, particle density and liquid to gas ratio) fluctuates randomly, thus
resulting in a non-linear dynamic behavior of the system. This non-linearity generally limits the ability of the
scrubber to control PM less than 5μm in diameter. Thus, in this study, intelligent control technique based on
fuzzy logic controller (FLC) has been developed to solve the non-linearity in the system by selecting appropriate
scrubbing liquid droplet size in order to improve system performance to control PM that are less than 5μm in
diameter. The developed FLC has two inputs (error and change in error) and a single output. The results shows
that within short settling time, the controller was able to effectively reduce the PM that are less than 5μm below
the set-point (20μg/m3) which is the maximum allowable emission limit of PM contaminants by world health
organization (WHO). |
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