
Adaptive Control of pH Neutralization Process based on Feedback Linearization Technique
Author(s) -
Mohanad Hamad Eljack Elameen,
Mona Bahaeldin Musa Hago,
Tan Wen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1905/1/012005
Subject(s) - control theory (sociology) , pid controller , feedback linearization , controller (irrigation) , nonlinear system , process (computing) , adaptive control , linearization , control engineering , process control , computer science , control (management) , engineering , temperature control , artificial intelligence , physics , agronomy , quantum mechanics , biology , operating system
This paper presents a nonlinear adaptive controller for pH neutralization process, which is difficult to control due to its nonlinear dynamics, sensibility to small disturbance and time-varying characteristics. Special attention is paid to the effect of internal perturbations and external disturbances typically present in the chemical process. In this work, the performance of the adaptive nonlinear controller based on feedback linearization (FL) is compared with the performance of a conventional PID controller for pH control. It is shown that conventional PID controller rejects input disturbances with poor performance, and the proposed control technique can reject the input disturbances from the control signal and then recovers linear reference tracking very well.