Details
| Original language | English |
|---|---|
| Title of host publication | 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 377-382 |
| Number of pages | 6 |
| ISBN (electronic) | 9781509021826 |
| Publication status | Published - 6 Oct 2017 |
| Event | 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States Duration: 27 Aug 2017 → 30 Aug 2017 |
Abstract
Mold temperature is a decisive process parameter during vulcanization of rubber articles. Hence, ensuring a homogeneous temperature distribution over the entire mold surface throughout the curing process is a crucial requirement. Therefore, we present a model-based approach to analyze heat propagation within the mold and to design a controller for mold surface temperature. The thermal model of the process was build by means of the heat equation utilizing spatial discretization. Simulations indicated, that the order of the resulting model can be reduced by moment-matching methods maintaining sufficient accuracy. Subsequently, a decentralized PI-controller was designed based on the reduced thermal process model. Reference tracking and disturbance rejection were investigated in simulation and experiment for a vulcanization test bench. The evaluated controller setup allows for fast wide range reference changes and proper compensation of disturbances and eventually, desired homogeneity in mold surface temperature distribution is achieved.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- Hardware and Architecture
- Computer Science(all)
- Software
- Engineering(all)
- Control and Systems Engineering
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1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 377-382.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Thermal modeling and decentralized control of mold temperature for a vulcanization test bench
AU - Bosselmann, Steffen
AU - Frank, Tobias
AU - Wielitzka, Mark
AU - Dagen, Matthias
AU - Ortmaier, Tobias
N1 - Funding information: ACKNOWLEDGMENT The authors would like to thank the German Federal Ministry for Economic Affairs and Energy (BMWi) as well as Continental Tire Division for funding this project.
PY - 2017/10/6
Y1 - 2017/10/6
N2 - Mold temperature is a decisive process parameter during vulcanization of rubber articles. Hence, ensuring a homogeneous temperature distribution over the entire mold surface throughout the curing process is a crucial requirement. Therefore, we present a model-based approach to analyze heat propagation within the mold and to design a controller for mold surface temperature. The thermal model of the process was build by means of the heat equation utilizing spatial discretization. Simulations indicated, that the order of the resulting model can be reduced by moment-matching methods maintaining sufficient accuracy. Subsequently, a decentralized PI-controller was designed based on the reduced thermal process model. Reference tracking and disturbance rejection were investigated in simulation and experiment for a vulcanization test bench. The evaluated controller setup allows for fast wide range reference changes and proper compensation of disturbances and eventually, desired homogeneity in mold surface temperature distribution is achieved.
AB - Mold temperature is a decisive process parameter during vulcanization of rubber articles. Hence, ensuring a homogeneous temperature distribution over the entire mold surface throughout the curing process is a crucial requirement. Therefore, we present a model-based approach to analyze heat propagation within the mold and to design a controller for mold surface temperature. The thermal model of the process was build by means of the heat equation utilizing spatial discretization. Simulations indicated, that the order of the resulting model can be reduced by moment-matching methods maintaining sufficient accuracy. Subsequently, a decentralized PI-controller was designed based on the reduced thermal process model. Reference tracking and disturbance rejection were investigated in simulation and experiment for a vulcanization test bench. The evaluated controller setup allows for fast wide range reference changes and proper compensation of disturbances and eventually, desired homogeneity in mold surface temperature distribution is achieved.
UR - http://www.scopus.com/inward/record.url?scp=85047601217&partnerID=8YFLogxK
U2 - 10.1109/ccta.2017.8062491
DO - 10.1109/ccta.2017.8062491
M3 - Conference contribution
AN - SCOPUS:85047601217
SP - 377
EP - 382
BT - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Y2 - 27 August 2017 through 30 August 2017
ER -