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https://doi.org/10.21256/zhaw-28604
Publikationstyp: | Konferenz: Paper |
Art der Begutachtung: | Peer review (Publikation) |
Titel: | PID parameter tables after ITAE to control overshooting systems found with AI algorithm |
Autor/-in: | Büchi, Roland |
et. al: | No |
DOI: | 10.53375/icmame.2023.216 10.21256/zhaw-28604 |
Tagungsband: | ICMAME 2023 Conference Proceedings |
Angaben zur Konferenz: | International Conference on Mechanical, Automotive and Mechatronics Engineering (ICMAME), Dubai, United Arab Emirates (online), 29-30 April 2023 |
Erscheinungsdatum: | Apr-2023 |
Verlag / Hrsg. Institution: | ECER |
ISBN: | 978-625-00-1526-1 |
Sprache: | Englisch |
Schlagwörter: | PID; ITAE; Hill climbing; Embedded control; Swarm intelligence; Renewable energy; Statistical analysis; Artificial intelligence |
Fachgebiet (DDC): | 006: Spezielle Computerverfahren |
Zusammenfassung: | Embedded controllers are used in many applications. It often happens that these do not offer any possibilities to set the controller parameters, because they are capsulated to outside. The closed-loop systems are then stable, but the systems are often weakly damped and their step responses exhibit overshoot. In the following, a method is described, how such embedded controlled systems can be controlled via a superimposed feedback loop using PID controllers in such a way that the system deviation of the step response is minimized according to the ITAE method. A method from artificial intelligence, hill climbing, is used for this purpose. For the control of such systems, the paper essentially provides PID controller parameters, which are usable for many weakly damped systems. The parameters are verified in a practical application with a speed control of a motor with inertial mass. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/28604 |
Volltext Version: | Publizierte Version |
Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
Departement: | School of Engineering |
Organisationseinheit: | Institut für Informatik (InIT) |
Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
2023_Buechi_PID-parameter-tables-after-ITAE-to-control-overshooting-systems-AI.pdf | 589.98 kB | Adobe PDF | ![]() Öffnen/Anzeigen |
Zur Langanzeige
Büchi, R. (2023, April). PID parameter tables after ITAE to control overshooting systems found with AI algorithm. ICMAME 2023 Conference Proceedings. https://doi.org/10.53375/icmame.2023.216
Büchi, R. (2023) ‘PID parameter tables after ITAE to control overshooting systems found with AI algorithm’, in ICMAME 2023 Conference Proceedings. ECER. Available at: https://doi.org/10.53375/icmame.2023.216.
R. Büchi, “PID parameter tables after ITAE to control overshooting systems found with AI algorithm,” in ICMAME 2023 Conference Proceedings, Apr. 2023. doi: 10.53375/icmame.2023.216.
BÜCHI, Roland, 2023. PID parameter tables after ITAE to control overshooting systems found with AI algorithm. In: ICMAME 2023 Conference Proceedings. Conference paper. ECER. April 2023. ISBN 978-625-00-1526-1
Büchi, Roland. 2023. “PID Parameter Tables after ITAE to Control Overshooting Systems Found with AI Algorithm.” Conference paper. In ICMAME 2023 Conference Proceedings. ECER. https://doi.org/10.53375/icmame.2023.216.
Büchi, Roland. “PID Parameter Tables after ITAE to Control Overshooting Systems Found with AI Algorithm.” ICMAME 2023 Conference Proceedings, ECER, 2023, https://doi.org/10.53375/icmame.2023.216.
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