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Data-driven cascade control system: Response estimation and controller design
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DOI：10.1016/j.isatra.2023.06.005.png)
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摘要
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In this study, we propose a data-driven design method for a cascade control system with inner and outer control loops. First, the input-output response of a controlled plant, which varies with the controller parameters of a fixed-structure inner-outer control law, is estimated directly from open-loop input-output data. Next, based on the estimated response, the controller parameters are optimized to minimize the difference between a reference model with a controlled closed-loop system. In the proposed method, the response of a fictitious reference input, which varies with the controller parameters, is estimated, and then the closed-loop response is estimated. Therefore, a closed-loop input-output data is not required, and the controller parameters are determined directly from an open-loop input-output data. Furthermore, the time constant of a reference model is also optimized so as to reduce the control error. The proposed method is compared with both conventional single-loop and cascade data-driven methods by means of numerical examples.(c) 2023 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Data-driven
Cascade system
Response estimation
期刊
IF:
6.5
论文数:
6.0K
被引数:
2.0W
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