Resumen

APARNA, V.  y  JAMAL, D. N.. Real-time implementation of QFT, GA, and BFTPSO controller for pH neutralization system. J. appl. res. technol [online]. 2021, vol.19, n.3, pp.263-278.  Epub 01-Oct-2021. ISSN 2448-6736.  https://doi.org/10.22201/icat.24486736e.2021.19.3.1697.

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.

Palabras llave : pH Control; PID Controller; Genetic Algorithm; Hybrid Bacterial Foraging Technique Particle Swarm Optimization; Quantitative Feedback Theory; Robust Control.

        · texto en Inglés     · Inglés ( pdf )