A novel modified opposition-based hunger games search algorithm to design fractional order proportional-integral-derivative controller for magnetic ball suspension system

被引：20
|
作者：
Izci D. [1 ]
Ekinci S. [2 ]
Eker E. [3 ]
Kayri M. [4 ]
机构：
[1] Department of Electronics & Automation, Batman University, Batman
[2] Department of Computer Engineering, Batman University, Batman
[3] Vocational School of Social Sciences, Mus Alparslan University, Mus
[4] Department of Computer and Instructional Technology Education, Van Yuzuncu Yil University, Van
来源：
Advanced Control for Applications: Engineering and Industrial Systems | 2022年 / 4卷 / 01期
关键词：
fractional order PID controller; hunger games search; magnetic ball suspension system; modified opposition-based learning;
D O I：
10.1002/adc2.96
中图分类号：
学科分类号：
摘要：
This study focuses on construction of novel enhanced metaheuristic algorithm using a modified opposition-based learning technique and the hunger games search algorithm. The proposed modified opposition-based hunger games search (mOBL-HGS) algorithm is aimed to be used as an efficient tool to tune a fractional order proportional-integral-derivative (FOPID) controller in order to control a magnetic ball suspension system with greater flexibility. The challenging benchmark functions from CEC2017 test suite are used to confirm the greater performance of the proposed mOBL-HGS algorithm. The proposed mOBL-HGS algorithm is also utilized to reach the optimum values of a FOPID controller employed in a magnetic ball suspension system in order to demonstrate its capability in terms of a complex real-world engineering problem. The latter case is confirmed through comparative evaluations of statistical analysis, convergence profile, transient response, frequency response, disturbance rejection, and robustness. The demonstrated results confirm the greater ability of the proposed approach to control a magnetic ball suspension system. © 2022 John Wiley & Sons Ltd.
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