Object
Title: Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay
Creator:
Tao, Hongfeng ; Zheng, Junhao ; Wei, Junyu ; Paszke, Wojciech (1975- ) ; Rogers, Eric ; Stojanovic, Vladimir
Date:
Resource Type:
Abstract:
This paper develops an indirect iterative learning control scheme for batch processes with time-varying uncertainties, input delay, and disturbances. In this paper, a predictor based on a state observer is designed to estimate the future state and to compensate for the input delay. ; Then a feedback controller based on the estimated state and the set-point error is used to track the specified reference trajectory, where, of the options available, a robust H? controller is designed in the presence of time-varying uncertainties and load disturbances. ; Then a proportional plus derivative type iterative learning control law is designed. An injection molding process model demonstrates the new method`s effectiveness, and a comparison with a direct-type design is given. In this alternative approach, all design objectives are simultaneously considered.
Description:
artykuł zamieszczony w: "Journal of Process Control", Vol. 132
Format:
Resource Identifier:
DOI:
10.1016/j.jprocont.2023.103112
Pages:
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
Last modified:
Mar 28, 2024
In our library since:
Mar 28, 2024
Number of object content hits:
14
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/88344
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| Edition name | Date |
|---|---|
| Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay | Mar 28, 2024 |
