LAPSE:2023.36379
Published Article
LAPSE:2023.36379
Optimal Control of Technological Processes
July 13, 2023
The paper formulates conditions under which the roots closest to the imaginary axis (critical roots) of the characteristic equation of a linearized system are real for the maximum possible degree of stability of the closed-loop control system of a technological process with pure delay. For the parameters of the controllers corresponding to the maximum degree of stability, these roots are multiples. Their multiplicity order is one more than the number of coefficients in the transfer function of the controller. It is demonstrated that for a typical technological control object, these conditions are satisfied for all “serial” control laws. This allowed for obtaining analytical expressions for optimal settings and limiting degrees of stability as functions of object parameters for typical dynamic characteristics of technological processes. The paper considers the problem of robust stability for control systems with an object containing pure delay. It has been proven that in the maximum stability problem, the operations of maximizing over controller parameters and minimizing over the set of possible object parameters can be interchanged. Therefore, selecting robust settings amounts to determining the minimum of the maximum stability over the set of possible object parameter values. Controllers with such settings are suitable, without modification, for a whole class of technological processes.
Keywords
features of technological objects, maximum stability of linear systems, pure delay, robustness
Suggested Citation
Tsirlin AM, Balunov AI. Optimal Control of Technological Processes. (2023). LAPSE:2023.36379
Author Affiliations
Tsirlin AM: System Analysis Research Center, Ailamazyan Program Systems Institute of RAS, 152021 Pereslavl-Zalessky, Russia [ORCID]
Balunov AI: System Analysis Research Center, Ailamazyan Program Systems Institute of RAS, 152021 Pereslavl-Zalessky, Russia; Department of Cybernetics, Yaroslavl State Technical University, 150023 Yaroslavl, Russia [ORCID]
Journal Name
Processes
Volume
11
Issue
6
First Page
1835
Year
2023
Publication Date
2023-06-16
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11061835, Publication Type: Journal Article
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LAPSE:2023.36379
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doi:10.3390/pr11061835
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Jul 13, 2023
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CC BY 4.0
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Jul 13, 2023
 
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Jul 13, 2023
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Original Submitter
Calvin Tsay
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