Automatic Tuner for PID Controllers with Elements of Artificial Intelligence

The vast majority of automatic control systems (ACS) currently in operation use the PID algorithm. However, there are still many problems in the adjustment of PID regulators parameters that provide the required quality of control. In this connection, it is proposed to use for this task an algorithm...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 194; no. 2; pp. 22046 - 22051
Main Authors Zadorozhnaya, N M, Lisitsyn, A N
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 15.11.2018
Subjects
Algorithms
Artificial intelligence
Automatic control systems
Control systems
Information processing
Mathematical models
Parameters
Proportional integral derivative
Self tuning
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Summary:The vast majority of automatic control systems (ACS) currently in operation use the PID algorithm. However, there are still many problems in the adjustment of PID regulators parameters that provide the required quality of control. In this connection, it is proposed to use for this task an algorithm with two reference models for self-tuning of automatic control systems, in which continuous processes that accumulate information about the dynamics of the controlled object are implemented. It is used for determining optimal values of tunable parameters, assessing the performance of ACS in the course of mathematical modeling and automatic change of the ACS adjustment factors, in the case of approaching the performance of ACS to the limits of admissible values of the criterions quality, defined in the specifications.
ISSN:1755-1307
1755-1315
1755-1315
DOI:10.1088/1755-1315/194/2/022046