Adaptive neuro-fuzzy control of wet scrubbing process

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.

	PDF (scopus) - Published Version Restricted to Registered users only Download (407kB) | Request a copy
Preview	PDF Download (454kB) | Preview

Abstract

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.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	2470/45227
Uncontrolled Keywords:	Adaptive neuro-fuzzy control, wet scrubbing process, wet scrubber system
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	26 Oct 2015 09:02
Last Modified:	23 Sep 2017 14:51
URI:	http://irep.iium.edu.my/id/eprint/45227

Actions (login required)

View Item