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2018 | OriginalPaper | Chapter

Application of Grey Wolf Optimizer for Optimization of Fractional Order Controllers for a Non-monotonic Phase System

Authors : Santosh Kumar Verma, Shyam Krishna Nagar

Published in: Smart and Innovative Trends in Next Generation Computing Technologies

Publisher: Springer Singapore

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Abstract

In this paper, an optimized fractional order proportional-integral (FOPI), proportional-derivative (FOPD) and proportional-integral-derivative (FOPID) controllers are proposed for controlling the non-monotonic phase DC-buck regulator system. The parameters of controllers are optimized using a new meta-heuristic technique known as Grey Wolf Optimizer (GWO). Integral time absolute error (ITAE) has been taken as the fitness function for optimizing the parameters of the controller. Output response shows that the FOPI controller provides faster closed-loop performance and enhances the robustness of the system. Moreover, the FOPI controller also preserves the monotonic phase behavior of the system within the desired bandwidth. The results have validated by comparing the time domain as well as frequency domain characteristics of the system with another technique in the literature.

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Metadata
Title
Application of Grey Wolf Optimizer for Optimization of Fractional Order Controllers for a Non-monotonic Phase System
Authors
Santosh Kumar Verma
Shyam Krishna Nagar
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-8657-1_26

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