adaptive neuro fuzzy sliding mode based genetic algorithm control system to control of a ph neutralization process

نویسندگان

jalal javadi moghaddam

mostafa mirzaei

masood madani

mohammadreza norouzi

atena khodarahmi

چکیده

in this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (anfsga) controlsystem is proposed for a ph neutralization system. in ph reactors, determination and control of ph isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. an anfsga control system is designed to overcome the complexity of precisecontrol of ph. in the proposed control system the genetic algorithm is employed to do the crossoverand mutation operation in adaptive neuro fuzzy inference system (anfis) mechanism. in this way,on-line learning ability is employed to deal with external disturbance by adjusting the controlparameters. the control objective is to drive the system state to the original equilibrium point or totrack the set point.

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عنوان ژورنال:
journal of physical & theoretical chemistry

ISSN

دوره 11

شماره 4 2015

میزبانی شده توسط پلتفرم ابری doprax.com

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