| Title |
Investigation of adaptive pH control system based on feedback signal statistical analysis |
| Translation of Title |
Grįžtamojo ryšio signalo statistine analize pagrįstos adaptyvios pH valdymo sistemos tyrimas. |
| Authors |
Butt, Bilal |
| Full Text |
|
| Pages |
56 |
| Keywords [eng] |
fed-batch biotechnological process ; adaptive pH control system ; feedback signal statistical analysis |
| Abstract [eng] |
In this work to investigate the pH control system of a biotechnological process by using an Adaptive controller through feedback signal, using a statistical method in which the proportional gain is fixed and the integral time is adaptive by taking online measurement from the methods of moving average window, offset by measured and desired pH, and average absolute deviation to measure the pH signal. Then compare the results with the classical fixed PI controller, in which parameters are fixed, and this mathematical model is implemented on MATLAB Simulink software. By successful implementation of this model from the result its easily observed that the proposed method overcome the limitation of classical PI controller and gives significant performance and better improvement in pH stability with less deviation and better disturbance rejection with the involvement of feedforward compensator which play also important role to improve the system performance and give better results also applied noise levels and calculate the integral absolute error values clearly that adaptive controller is much better then classical PI controller in all scenario. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2026 |
