Title of article
ADAPTIVE NEURO FUZZY SLIDING MODE BASED GENETIC ALGORITHM CONTROL SYSTEM TO CONTROL OF A PH NEUTRALIZATION PROCESS
Author/Authors
javadi moghaddam, jalal islamic azad university of tehran , mirzaei, mostafa university of qom , madam, masoud islamic azad university of tehran , norouzi, mohammadreza tehran , khodarahmi, atena islamic azad university of tehran
Pages
11
From page
215
To page
225
Abstract
In this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (ANFSGA) control system is proposed for a pH neutralization system. In pH reactors, determination and control of pH is a common problem concerning chemical-based industrial processes due to the non-linearity observed in the titration curve. An ANFSGA control system is designed to overcome the complexity of precise control of pH. In the proposed control system the genetic algorithm is employed to do the crossover and 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 control parameters. The control objective is to drive the system state to the original equilibrium point or to track the set point.
Keywords
ANFIS , PH NEUTRALIZATION , SLIDING MODE , REACTOR , GENETIC ALGORITHM
Journal title
Astroparticle Physics
Serial Year
2015
Record number
2438952
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