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Repetitive process based design of PD-type iterative learning control laws for batch processes with time-delays

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Title: Repetitive process based design of PD-type iterative learning control laws for batch processes with time-delays

Creator:

Maniarski, Robert ; Paszke, Wojciech (1975- ) ; Rogers, Eric ; Tao, Hongfeng

Date:

2022

Resource Type:

artykuł

Abstract:

This paper uses linear matrix inequality (LMI) techniques to design an iterative learning control (ILC) law or a class of batch processes with state delays. The design procedure uses the stability theory for repetitive processes, where the design problem is first converted into one for a parallel interconnection of repetitive processes with delays. This setting allows the computation of the PD-type control law gain matrices, and the Kalman-Yakubovich-Popov (KYP) lemma ensures batch-to-batch error convergence over the complete frequency domain. A numerical example illustrates the paper developments and proves that the design is effective and brings some advantages when compared to the existing alternatives.

Description:

artykuł zamieszczony w materiałach konferencyjnych "22nd IFAC World Congress 2023"

Format:

application/pdf

Resource Identifier:

oai:zbc.uz.zgora.pl:74036

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Sources of funding:

This research was funded in whole or in part by National Science Centre in Poland, grant No. 2020/39/B/ST7/01487.

Subject and keywords:

PD-type iterative learning control delayed systems linear matrix inequality batch processes

Object collections:

Last modified:

Feb 13, 2024

In our library since:

Apr 21, 2023

Number of object content hits:

67

All available object's versions:

https://zbc.uz.zgora.pl/publication/81282

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Repetitive process based design of PD-type iterative learning control laws for batch processes with time-delays Feb 13, 2024

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