Adaptive neuro-fuzzy control of wet scrubbing process
The nonlinear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive...
| Main Authors: | , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2015
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/1/45227.pdf http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf |
| _version_ | 1848782751819366400 |
|---|---|
| author | Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin |
| author_facet | Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin |
| author_sort | Salami, Momoh Jimoh Eyiomika |
| building | IIUM Repository |
| collection | Online Access |
| description | The nonlinear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive neuro-fuzzy inference system (ANFIS) to design an intelligent controller based on direct inverse model control strategy using default input and output membership functions (gaussmf and linear) and different number of input membership functions. This is followed by training of the fuzzy inference system to obtain inverse model which was tested as the intelligent controller. The controller developed using two-input membership functions have successfully achieved the main target of setting the PM concentration (process output) below the set point which is the allowable World health organization (WHO) emission level for 20g/μm3 within a short settling time of 2s. |
| first_indexed | 2025-11-14T16:10:26Z |
| format | Proceeding Paper |
| id | iium-45227 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:10:26Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-452272017-09-23T06:51:01Z http://irep.iium.edu.my/45227/ Adaptive neuro-fuzzy control of wet scrubbing process Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin QA75 Electronic computers. Computer science The nonlinear characteristics of wet scrubbing process have led to the application of intelligent control technique to adequately deal with these complexities by manipulating the liquid droplet size for the effective control of particulate matter (PM) contaminants. This includes the use of adaptive neuro-fuzzy inference system (ANFIS) to design an intelligent controller based on direct inverse model control strategy using default input and output membership functions (gaussmf and linear) and different number of input membership functions. This is followed by training of the fuzzy inference system to obtain inverse model which was tested as the intelligent controller. The controller developed using two-input membership functions have successfully achieved the main target of setting the PM concentration (process output) below the set point which is the allowable World health organization (WHO) emission level for 20g/μm3 within a short settling time of 2s. IEEE 2015 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/45227/1/45227.pdf application/pdf en http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf Salami, Momoh Jimoh Eyiomika and Danzomo, Bashir Ahmed and Khan, Md. Raisuddin (2015) Adaptive neuro-fuzzy control of wet scrubbing process. In: 2015 10th Asian Control Conference (ASCC), 29th May-3rd June 2015, Kota Kinabalu, Sabah. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7244419&punumber%3D7209153%26filter%3DAND(p_IS_Number%3A7244373)%26pageNumber%3D2 10.1109/ASCC.2015.7244419 |
| spellingShingle | QA75 Electronic computers. Computer science Salami, Momoh Jimoh Eyiomika Danzomo, Bashir Ahmed Khan, Md. Raisuddin Adaptive neuro-fuzzy control of wet scrubbing process |
| title | Adaptive neuro-fuzzy control of wet scrubbing process |
| title_full | Adaptive neuro-fuzzy control of wet scrubbing process |
| title_fullStr | Adaptive neuro-fuzzy control of wet scrubbing process |
| title_full_unstemmed | Adaptive neuro-fuzzy control of wet scrubbing process |
| title_short | Adaptive neuro-fuzzy control of wet scrubbing process |
| title_sort | adaptive neuro-fuzzy control of wet scrubbing process |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/ http://irep.iium.edu.my/45227/1/45227.pdf http://irep.iium.edu.my/45227/4/45227_Adaptive%20neuro-fuzzy%20control%20of%20wet_Scopus.pdf |