Hardware Implementation of ANFIS Controller for Gas-Particle Separations in Wet Scrubber System
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Date
2014-09-23
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Wet scrubber system has been used for the control of gas and particulate matter (PM)
emissions from production industries. Due to non-linear characteristics, wet scrubbers
are limited to the control of PM that is less than 5μm. In this study, an intelligent control
technique based on Adaptive Neuro-Fuzzy Inference System (ANFIS) has been designed
using MATLAB software. The ANFIS Controller has the advantage of solving nonlinearities in the proposed wet scrubber system by manipulating the scrubbing liquid droplet size for the effective control of particulate matter that is less than 5μm. From the simulation results, the controller was able to set PM concentration below the setpoint and provides smooth control response within short settling time. Hardware implementation of
the ANFIS controller was performed using prototype wet scrubber system by considering Arduino Duemilanove microcontroller and MATLAB interface. The results show that the intelligent controller has achieved the desired objectives of controlling the PM concentration effectively by setting the value below the set point (20μg/m 3) which is the allowable PM concentration standard recommended by World Health Organization.
Description
Keywords
Hardware implementation, ANFIS controller, Gas-particle separations, Wet scrubber system, Liquids, Computers, Abstracts, Hardware, Slurries
Citation
Rotinwa-Akinbile, M. O., Aibinu, A. M., & Salami, M. J. E. (2011, December). A novel palmprint segmentation technique. In 2011 First International Conference on Informatics and Computational Intelligence (pp. 235-239). IEEE.