Unfalsified Adaptive Control with Online Optimization to a pH Neutralization Process

Main Article Content

Tanet Wonghong

Abstract

This work presents a data-driven adaptive controller with an online optimization. The proposed algorithm computes a real-time controller parameter vector for a PID controller structure using only plant input-output measurement data. The controller can be adapted by the algorithm to handle a change of set-points with a minimum knowledge about a plant. Finally, we demonstrate the performance of the algorithm using a pH neutralization process with an adaptation of PID controllers.

 

Keywords: Data-driven Control; Adaptive Control; Unfalsified Control; Online Optimization; Automatic PID Controller Tuning; pH Neutralization Process

Article Details

How to Cite
Wonghong, T. (1). Unfalsified Adaptive Control with Online Optimization to a pH Neutralization Process. Science & Technology Asia, 20(4), 80-90. Retrieved from https://www.tci-thaijo.org/index.php/SciTechAsia/article/view/44176
Section
Engineering and Information Technology
Author Biography

Tanet Wonghong, Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, Si Racha Campus

Department of Electrical Engineering, Faculty of Engineering, Kasetsart University,

Si Racha Campus