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2017 | OriginalPaper | Buchkapitel

A Particle Swarm Optimization Based Predictive Controller for Delay Compensation in Networked Control Systems

verfasst von : Abdin Yousif Elamin, Nurul Adilla Mohd Subha, Norikhwan Hamzah, Anita Ahmad

Erschienen in: Modeling, Design and Simulation of Systems

Verlag: Springer Singapore

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Abstract

This paper addresses transmission delays problem in network control systems. Network-induced delay is an inherent constraint in NCS implementation that could lead to system degradation and destabilization. A particle swarm optimization (PSO) tuning algorithm was adopted to optimally tune the parameters of Generalized Predictive Controller (GPC) to solve networked-induced delay problem. Furthermore, a modified PSO-GPC was designed by replacing the standard GPC objective function with an Integral Time Squared Error (ITSE) performance index in the GPC controller design. A particle swarm optimization based PI controller in the Smith predictor structure is designed to compare the performances of the original PSO-GPC and the modified PSO-GPC. The results show that the modified PSO-GPC performed better than the PSO-GPC in terms of transient response and enhanced NCS performance in the occurrence of network delays.

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Metadaten
Titel
A Particle Swarm Optimization Based Predictive Controller for Delay Compensation in Networked Control Systems
verfasst von
Abdin Yousif Elamin
Nurul Adilla Mohd Subha
Norikhwan Hamzah
Anita Ahmad
Copyright-Jahr
2017
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6502-6_37