Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system
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...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2014
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/42181/ http://irep.iium.edu.my/42181/ http://irep.iium.edu.my/42181/ http://irep.iium.edu.my/42181/1/42181.pdf http://irep.iium.edu.my/42181/4/42181_Hardware%20implementation%20of%20ANFIS%20controller%20for%20gas_Scopus.pdf |
| id |
iium-42181 |
|---|---|
| recordtype |
eprints |
| spelling |
iium-421812017-09-23T02:36:29Z http://irep.iium.edu.my/42181/ Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system Banzomo, Bashir Ahmed Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin T175 Industrial research. Research and development 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 non-linearities 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 set-point 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/m3) which is the allowable PM concentration standard recommended by World Health Organization. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/42181/1/42181.pdf application/pdf en http://irep.iium.edu.my/42181/4/42181_Hardware%20implementation%20of%20ANFIS%20controller%20for%20gas_Scopus.pdf Banzomo, Bashir Ahmed and Salami, Momoh Jimoh Eyiomika and Khan, Md. Raisuddin (2014) Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system. In: 5th International Conference on Computer & Communication Engineering 2014, 23th -25th September 2014, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7031656 DOI 10.1109/ICCCE.2014.85 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
T175 Industrial research. Research and development |
| spellingShingle |
T175 Industrial research. Research and development Banzomo, Bashir Ahmed Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system |
| description |
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 non-linearities 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 set-point 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/m3) which is the allowable PM concentration standard recommended by World Health Organization. |
| format |
Conference or Workshop Item |
| author |
Banzomo, Bashir Ahmed Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin |
| author_facet |
Banzomo, Bashir Ahmed Salami, Momoh Jimoh Eyiomika Khan, Md. Raisuddin |
| author_sort |
Banzomo, Bashir Ahmed |
| title |
Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system |
| title_short |
Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system |
| title_full |
Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system |
| title_fullStr |
Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system |
| title_full_unstemmed |
Hardware implementation of ANFIS controller for gas-particle separations in wet scrubber system |
| title_sort |
hardware implementation of anfis controller for gas-particle separations in wet scrubber system |
| publisher |
IEEE |
| publishDate |
2014 |
| url |
http://irep.iium.edu.my/42181/ http://irep.iium.edu.my/42181/ http://irep.iium.edu.my/42181/ http://irep.iium.edu.my/42181/1/42181.pdf http://irep.iium.edu.my/42181/4/42181_Hardware%20implementation%20of%20ANFIS%20controller%20for%20gas_Scopus.pdf |
| first_indexed |
2023-09-18T21:00:11Z |
| last_indexed |
2023-09-18T21:00:11Z |
| _version_ |
1777410571420827648 |