| Entry type | inproceedings |
| Abstract | In this paper, we present a software framework implementing Model Predictive Control (MPC), a widely adopted method in industrial automation. Designed for versatility, it operates with a range of target platforms—such as programmable logic controllers and distributed control systems. Notably, beyond its core MPC functionality, the framework supports multiple real-time simulation models, positioning it not merely as a conventional controller but also as a foundational digital twin for industrial processes. This capability facilitates a seamless transition from academic research to real-world application—an area that often proves challenging due to the gap between laboratory settings and practical industry requirements. The experimental validation on a laboratory test bench demonstrates the effectiveness of the proposed solution, underscoring its role as a bridge between academic developments and industrial implementation. |
| Author(s) | Vansovitš, Vitali and Petlenkov, Eduard and Tepljakov, Aleksei and Vassiljeva, Kristina |
| Booktitle | 2025 IEEE 19th International Conference on Control & Automation (ICCA) |
| DOI | 10.1109/icca65672.2025.11129770 |
| ETIS | 3.1 |
| Month | jun |
| Pages | 124-129 |
| Publisher | IEEE |
| Title | An Advanced Process Control Application Framework: Development and Test-Bench Validation |
| Url | http://dx.doi.org/10.1109/ICCA65672.2025.11129770 |
| Year | 2025 |
| Permalink | https://cis.ttu.ee/research/publications/an-advanced-process-control-application-framework-development-and-test-bench-validation/ |
An Advanced Process Control Application Framework: Development and Test-Bench Validation
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