Adaptive Neuro Fuzzy Sliding Mode Based Genetic Algorithm Control System to Control of a pH Neutralization Process

Subject Areas : Journal of Physical & Theoretical Chemistry

Jalal Javadi Moghaddam ^{1 *} , Mostafa Mirzaei ^{2 *} , Masood Madani ^{3 *} , Mohammadreza Norouzi ^{4 *} , Atena Khodarahmi ^{5 *}

1 - -
2 - -
3 - -
4 - -
5 - -

Received: 2015-02-18 Accepted : 2015-02-18 Published : 2015-01-01

Keywords: ANFIS, pH neutralization, Sliding mode, Reactor, Genetic algorithm,

Abstract :

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.