PID controller optimized by Big Bang-Big Crunch algorithm for the evolution of router bandwidth demand

This paper presents an application of the Big Bang-Big Crunch algorithm to estimate with high precision the gains Kp, Ki and Kd of a PID controller. The optimized PID controller together with an evolution model is useful for the network administrators as it provides information within 5 or 15-min in...

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Bibliographic Details
Published in:International journal of information technology (Singapore. Online) 2020-09, Vol.12 (3), p.691-698
Main Authors: Giannopoulos, Iordanis K., Leros, Asimakis K., Leros, Apostolos P., Kofinas, Panagiotis, Dounis, Anastasios I.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Imaging
Computer Science
Image Processing and Computer Vision
Machine Learning
Original Research
Pattern Recognition and Graphics
Software Engineering
Vision
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Summary:This paper presents an application of the Big Bang-Big Crunch algorithm to estimate with high precision the gains Kp, Ki and Kd of a PID controller. The optimized PID controller together with an evolution model is useful for the network administrators as it provides information within 5 or 15-min intervals for the bandwidth distribution. Furthermore, the Big Bang-Big Crunch algorithm results will be compared with those computed by the analysis of a classical PID controller. Finally, simulations with Simulink package are presented to compare the two methodologies.
ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-020-00424-w