Design and Analysis of Prediction based Control System for pH Neutralization Process of Sugar Mill

2021 ◽  
Author(s):  
Govind Singh Jethi ◽  
Sandeep Kumar Sunori ◽  
Mallika Tewari ◽  
Pratul Goyal ◽  
Sudhanshu Maurya ◽  
...  
Keyword(s):  
Control System ◽  
Sugar Mill ◽  
Neutralization Process ◽  
Ph Neutralization ◽  
Ph Neutralization Process

scholarly journals Design and Simulation of PID Controller for PH Neutralization Process

2020 ◽  
Vol 9 (3) ◽  
pp. 2740-2743
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Ph Control ◽  
Simulation Software ◽  
First Order ◽  
Untreated Wastewater ◽  
Wide Range ◽  
Neutralization Process ◽  
Ph Neutralization ◽  
Ph Neutralization Process

PH control system plays an important role in a wide range of industrial applications particularly in wastewater treatment management. Untreated wastewater generally contains high level of organic materials, numerous pathogenic microorganisms which raised concern in environmental and health hazards. The high non-linearity and time varying in pH neutralization process and the uncertainty of the plant dynamics are the key challenges of the pH control systems. There are many sophisticated PID tuning method, however conventional tuning procedure remains effectives in industries. The overall control scheme involves controls of flow rates of acid and base solutions. Ziegler Nichols method tuning has been developed for first order and second order system, in which, also applicable for pH neutralization control model. This paper elaborates the performance of transient response for pH neutralization process by using empirical techniques through the simulation software along with Proportional-Integral-Derivative (PID) for controlling purpose. A result of comparison between Ziegler-Nichols versus First Order plus Time Delay (FOPTD) of pH control system design for PID controller is seeing in a graph.

Application of Supervisory Predictive Control Based on T-S Model in pH Neutralization Process

2014 ◽  
Vol 511-512 ◽  
pp. 867-870
Author(s):  
Su Zhen Li ◽  
Xiang Jie Liu ◽  
Gang Yuan
Keyword(s):  
Predictive Control ◽  
Linear Time ◽  
Control Performance ◽  
Invariant State ◽  
Linear Time Invariant ◽  
Neutralization Process ◽  
S Model ◽  
Time Invariant ◽  
Ph Neutralization ◽  
Ph Neutralization Process

T-S model is linearized at sampling points into the form of linear time-invariant state space , and using supervisory predictive control and muti-step predictive control strategy, which reduces amount of calculation and improves the control performance. Introduction

scholarly journals MULTI-MODEL CONTROL OF A SIMULATED PH NEUTRALIZATION PROCESS

2005 ◽  
Vol 38 (1) ◽  
pp. 591-596 ◽  
Author(s):  
Jari M. Böling ◽  
Dale E. Seborg ◽  
João P. Hespanha
Keyword(s):  
Model Control ◽  
Neutralization Process ◽  
Ph Neutralization ◽  
Ph Neutralization Process

Identification and Online Validation of a pH Neutralization Process Using an Adaptive Network-Based Fuzzy Inference System

2015 ◽  
Vol 203 (4) ◽  
pp. 516-526 ◽  
Author(s):  
Ariane Silva Mota ◽  
Mauro Renault Menezes ◽  
Jones Erni Schmitz ◽  
Thiago Vaz da Costa ◽  
Flávio Vasconcelos da Silva ◽  
...  
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Adaptive Network ◽  
Inference System ◽  
Neutralization Process ◽  
Ph Neutralization ◽  
Ph Neutralization Process
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