International Journal of Engineering Research

Ahmed S. Abd EL-Hamid ¹, Ahmed E. Hussian ¹, Aly M. Radwan ¹

Affiliations
1 Department of Chemical Engineering, National Research Center, IN

Abstract

This paper focuses on the design of Generic Model Control (GMC) algorithm for the control of the acetate concentration in a biomethanation process with production of methane gas. A nonlinear dynamic model for the biomethanation process is used in the derivation of the control law of Generic Model Control scheme. The controller parameters are estimated using the Trial and Error method. The effectiveness and performance of the proposed control strategy is illustrated by a MATLAB program under various operation conditions and disturbances. The simulation results obtained confirmed the good quality of the control.

Keywords

Generic Model Control, Process Control, Biomethanation Process.

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Ahmed S. Abd El-Hamid ¹, Ahmed H. Eissa ¹, ALy M. Radwan ¹

Affiliations
1 National Research Center, Engineering Division, Dokki, Cairo, EG

Abstract

The determination of parameters of controllers is an important problem in automatic control systems. In this paper, the Levenberg Marquardt (LM) Algorithm is used to effectively solve this problem with reasonable computational effort. The Levenberg Marquardt (LM) Algorithm for optimization of three term (PID) controller parameters with dynamic model of pH neutralization process is presented. The main goal is to show the merits of Levenberg Marquardt algorithm optimization and to determine its suitability in the area of control systems. Lastly, the application of this approach to the calculation of the parameters of PID controller shows that the Levenberg Marquardt (LM) algorithm has a better dynamic performance of pH neutralization process.

Keywords

Parameters Optimization, PID Controller, pH Neutralization Process, Levenberg Marquardt (LM) Algorithm.

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