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https://doi.org/10.21256/zhaw-28604| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | PID parameter tables after ITAE to control overshooting systems found with AI algorithm |
| Authors: | Büchi, Roland |
| et. al: | No |
| DOI: | 10.53375/icmame.2023.216 10.21256/zhaw-28604 |
| Proceedings: | ICMAME 2023 Conference Proceedings |
| Conference details: | International Conference on Mechanical, Automotive and Mechatronics Engineering (ICMAME), Dubai, United Arab Emirates (online), 29-30 April 2023 |
| Issue Date: | Apr-2023 |
| Publisher / Ed. Institution: | ECER |
| ISBN: | 978-625-00-1526-1 |
| Language: | English |
| Subjects: | PID; ITAE; Hill climbing; Embedded control; Swarm intelligence; Renewable energy; Statistical analysis; Artificial intelligence |
| Subject (DDC): | 006: Special computer methods |
| Abstract: | 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 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Buechi_PID-parameter-tables-after-ITAE-to-control-overshooting-systems-AI.pdf | 589.98 kB | Adobe PDF |  View/Open |
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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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