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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional Autónoma de México
2021
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=47471685009 https://www.redalyc.org/journal/474/47471685009/ https://www.redalyc.org/journal/474/47471685009/html/ https://www.redalyc.org/journal/474/47471685009/47471685009.epub https://www.redalyc.org/journal/474/47471685009/movil |
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Inhaltsangabe:
- Real-time implementation of QFT, GA, and BFTPSO controller for pH neutralization system V. Aparna D. N. Jamal Ingeniería PH Control PID Controller Robust Control Genetic Algorithm Quantitative Feedback Theory 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. 2021 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47471685009 https://www.redalyc.org/journal/474/47471685009/ https://www.redalyc.org/journal/474/47471685009/html/ https://www.redalyc.org/journal/474/47471685009/47471685009.epub https://www.redalyc.org/journal/474/47471685009/movil 10.14482/INDES.30.1.303.661 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.19