An improved spotted hyena optimizer for PID parameters in an AVR system

DOI10.3934/MBE.2020211zbMath1467.93118OpenAlexW3026680873WikidataQ100312470 ScholiaQ100312470MaRDI QIDQ2038771

Yongquan Zhou, Jie Li, Guo Zhou, Zhonghua Tang, Qifang Luo

Publication date: 7 July 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020211

zbMATH Keywords

metaheuristicopposition-based learningnonlinear convergence factorPID parameter optimizationspotted hyena optimizer

Mathematics Subject Classification ID

Feedback control (93B52) Automated systems (robots, etc.) in control theory (93C85) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Approximation algorithms (68W25)

Related Items (1)

Rao algorithm based optimal Multi‐term <scp>FOPID</scp> controller for automatic voltage regulator system

Uses Software

• GWO

Cites Work

• Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system
• A comparative study of artificial bee colony algorithm
• Practical Genetic Algorithms

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