Autor:

Tao, Hongfeng ; Zheng, Junhao ; Wei, Junyu ; Paszke, Wojciech (1975- ) ; Rogers, Eric ; Stojanovic, Vladimir

Tytuł:

Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay

Temat i słowa kluczowe:

batch processes ; iterative learning control ; input-delay ; repetitive processes ; robust H? control ; linear matrix inequality

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.

Opis:

artykuł zamieszczony w: "Journal of Process Control", Vol. 132

Data wydania:

2023

Typ zasobu:

artykuł

Format:

application/pdf

DOI:

10.1016/j.jprocont.2023.103112

Strony:

1-12

Jezyk:

eng

Licencja CC BY 4.0:

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Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego