Control Performance Assessment for ILC-Controlled Batch Processes in a 2-D System Framework
| العنوان: | Control Performance Assessment for ILC-Controlled Batch Processes in a 2-D System Framework |
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| المؤلفون: | Shaolong Wei, Youqing Wang, Biao Huang, Donghua Zhou, Hao Zhang |
| المصدر: | IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:1493-1504 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Computer science, Iterative learning control, 02 engineering and technology, Linear-quadratic-Gaussian control, Computer Science Applications, Human-Computer Interaction, 020901 industrial engineering & automation, 020401 chemical engineering, Control and Systems Engineering, Control theory, Control system, Batch processing, Optimal projection equations, 0204 chemical engineering, Electrical and Electronic Engineering, Software, Subspace topology |
| الوصف: | In this paper, control performance assessment (CPA) is studied for batch processes controlled by iterative learning control (ILC). A 2-D linear quadratic Gaussian (LQG) benchmark is proposed to assess the performance of ILC in a 2-D framework. Based on the 2-D theory, an ILC-controlled batch process is first converted into a 2-D Roesser model. Subsequently, in order to assess the control performance of the converted 2-D system, the conventional LQG tradeoff curve is upgraded to the LQG performance assessment tradeoff surface. However, the complete knowledge of the system model is required to obtain the LQG tradeoff surface. For system without accurate model knowledge, a novel data-driven CPA method is further proposed. In this case, a novel 2-D closed-loop subspace identification method is proposed to identify the converted 2-D Roesser system. Based on the identified model, the LQG tradeoff surface can be obtained and utilized to assess the control performance. Overall, several simulation examples verified the feasibility and effectiveness of the proposed method. |
| تدمد: | 2168-2232 2168-2216 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::51c6a53c9a44cff7cc9f54c6f21ed830 https://doi.org/10.1109/tsmc.2017.2672563 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........51c6a53c9a44cff7cc9f54c6f21ed830 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21682232 21682216 |
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