Nonlinear model feedback linearization control strategy of a pH neutralization process

Elameen, Mohanad Hamad Eljack; Karsiti, Mohd Noh; Ibrahim, Rosdiazli

doi:10.1109/icias.2014.6869488

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…The general representation of a pH system is given by (Alina & Madalina, 2016;Bharathi et al, 2007;Biagiola et al, 2016;Darab et al, 2012;Elameen et al, 2014;Rodriguez & Loparo, 2004), (5)…”

Section: System Modelingmentioning

confidence: 99%

Real-time implementation of QFT, GA, and BFTPSO controller for pH neutralization system

Aparna¹,

Jamal²

2021

JART

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The control of a pH process is complex because of severe nonlinearities in its behavior. A continuous pH neutralization process is usually represented as a first-order plus dead time system, but its gain varies for different operating points. Therefore, a conventional linear controller cannot be used, and the pH system was thus represented as a linear state-space model around an equilibrium point. This linear model was then used to compute the PID controller gains using robust and optimization techniques like quantitative feedback theory, bacterial foraging technique-based particle swarm optimization algorithm, and genetic algorithm. The corresponding controller gains resulting from the three algorithms were used to control the pH using a reconfigurable I/O device, NI myRIO-1900. Finally, the output time domain specifications and the servo and regulatory responses, resulting from the three algorithms, were compared in simulation and in real-time to deduce the appropriate tuning algorithm for this system.

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Section: System Modelingmentioning

confidence: 99%

Real-time implementation of QFT, GA, and BFTPSO controller for pH neutralization system

Aparna¹,

Jamal²

2021

JART

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“…In the field of industrial applications, the PID controller is considered as the most popular controller types, but it has been unable to satisfy the growing demand for efficiency, speed, and accuracy. Nonlinear control techniques also have been applied [9][10][11][12][13][14][15][16][17][18][19][20][21]. Other works involve intelligent control technique [22,23].…”

Section: Introductionmentioning

confidence: 99%

pH Neutralization Process Control based on Active Disturbance Rejection Control

Elameen¹,

Hago²,

Tan³

2019

Adv. sci. technol. eng. syst. j.

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This paper considers active disturbance rejection control (ADRC) as a new control approach for pH neutralization process. The pH process is challenging to control due to its sensitivity to disturbance, nonlinear dynamics, and time-varying characteristics. Special attention is paid to the impact of disturbances typically exists in the chemical process. First, the pH neutralization process nonlinear model is presented, then the active disturbance rejection control is described briefly and a pH neutralization process closed-loop control system is designed on its bases, and investigated with simulation. More robust and better disturbance rejection performances are achieved compared to the control technique of feedback linearization (FL).

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