Cyber-Physical Pump and Valve Agents Master Uncertain Information and Demand at Pareto-Optimal Energy Costs and Control Accuracy
| datacite.relation.isNewVersionOf | https://doi.org/10.48328/tudatalib-984.3 | |
| dc.contributor.advisor | ||
| dc.contributor.author | Logan, Kevin | |
| dc.contributor.author | Buchert, Tim Moritz | |
| dc.contributor.author | Stürmer, J. Marius | |
| dc.contributor.author | Pelz, Peter F. | |
| dc.date.accessioned | 2023-05-09T13:49:38Z | |
| dc.date.available | 2022-11-18T14:32:32Z | |
| dc.date.available | 2023-04-24T10:28:16Z | |
| dc.date.available | 2023-04-25T06:23:56Z | |
| dc.date.available | 2023-05-09T13:49:38Z | |
| dc.date.created | 2022-11-18 | |
| dc.date.issued | 2023-05-09 | |
| dc.description | This dataset contains the raw data as well as plotted data of the study "Comparing Approaches to Distributed Control of Fluid Systems based on Multi-Agent Systems". The study was carried out within the scope of the project "Multiagentensysteme zur verteilten Regelung von Fluidsystemen" funded by "VDMA Pumpen und Systeme" between January 1st, 2021 and December 31st, 2021. The work in the project was carried out by Tim Müller with the support of Kevin Logan. The Chairman of the project was Jochen Schaab of KSB and the contact person of VDMA was Harald Frank. The study was conducted by Kevin Logan and Marius Stürmer in equal parts as well as Tim Müller under the supervision of Prof. Peter F. Pelz. | de_DE |
| dc.description.version | Updated figure files to include correct figure numbers after updating manuscript | de_DE |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3625.4 | |
| dc.language.iso | en | de_DE |
| dc.rights.license | CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0) | |
| dc.subject.classification | 4.41-01 | |
| dc.subject.ddc | 621.3 | |
| dc.title | Cyber-Physical Pump and Valve Agents Master Uncertain Information and Demand at Pareto-Optimal Energy Costs and Control Accuracy | de_DE |
| dc.type | Other | de_DE |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | 0000-0001-5512-2679 | |
| person.identifier.orcid | 0000-0002-4153-6851 | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| tuda.history.classification | Version=2020-2024;407-01 Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems | |
| tuda.unit | TUDa |
Files
Original bundle
1 - 13 of 13
| Name | Description | Size | Format | |
|---|---|---|---|---|
| figure_4_values.json | figure_4 values for plotted 30 minute and 30 second loadprofiles for individual valves and total demand | 7.93 MB | Json Format | |
| figure_7.json | figure_7 results normed costs of all studied approaches | 1.78 KB | Json Format | |
| figure_8.json | figure_8 results Pareto front of energy consumption versus mean volumeflow difference for multi-agent and conventional control | 2.31 KB | Json Format | |
| figure_9_values.json | figure_9 local costs and control variables of the individual agents for 30 s trials | 1.56 MB | Json Format | |
| figure_10.json | figure_10 effect of communication rounds on performance of dmpc normed with mpc as reference | 2.41 KB | Json Format | |
| figure_11.json | figure_11 effect of disruptions in the communication network at various instances in the 30 minute load profile on each of the studied approaches | 4.59 KB | Json Format | |
| Fluid_Model.zip | Dymola Model of the Fluid System with exported FMU | 2.87 MB | ZIP-Archivdateien | |
| Volumeflow_Demand.zip | demand load profiles for 30 minute and 30 second scenarios for valves 1 through 5 | 1.31 MB | ZIP-Archivdateien | |
| 30s_Trials.zip | raw results data for 30 second load profiles without disruption for all approaches | 1.77 MB | ZIP-Archivdateien | |
| 1800s_Trials.zip | raw results data for 30 minute load profiles without disruption for all approaches | 694.95 MB | ZIP-Archivdateien | |
| 1800s_Trials_interrupted.zip | raw results data for 30 minute load profiles with disruption for all approaches | 454.77 MB | ZIP-Archivdateien | |
| readme.ipynb | ipynb describing data structure of results data and manual for retrieving results from raw data | 18.4 KB | Unknown data format | |
| environment.yml | conda environment configuration file for using readme.ipynb | 107 B | Unknown data format |
Collections
Version History
You are currently viewing version no. 4 of the item. This is the most recent version.
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| Version | Date | Summary |
|---|---|---|
4* | 2023-05-09 15:40:02 | journal submission |
| 2023-04-25 08:19:01 | Links to raw data in figure files refer to old version of the dataset and appear broken | |
| 2023-04-24 11:35:34 | In Figure_x.json files, update links in URIs of "FurtherRessources" to point directly to the relevant .zip files, "File" says which file in the .zip is relevant | |
| 2022-11-18 15:32:32 | Initial data publication for publishing preprint on arXive |
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