Journal of Advanced Research ( IF 11.4 ) Pub Date : 2020-12-03 , DOI: 10.1016/j.jare.2020.11.014 A M AbdelAty 1 , Mohammed E Fouda 2, 3 , Menna T M M Elbarawy 1 , A G Radwan 2, 4
Introduction
Optimal charging of RC circuits is a well-studied problem in the integer-order domain due to its importance from economic and system temperature hazards perspectives. However, the fractional-order counterpart of this problem requires investigation.
Objectives
This study aims to find approximate solutions of the most energy-efficient input charging function in fractional-order RC circuits.
Methods
This paper uses a meta-heuristic optimization technique called Cuckoo search optimizer to attain the maximum charging efficiency of three common fractional-order RC circuits. An analytical expression of the fractional capacitor voltage is suggested such that it satisfies the boundary conditions of the optimal charging problem. The problem is formulated as a fractional-order calculus of variations problem with compositional functional. The numerical solutions are obtained with the meta-heuristic optimization algorithm’s help to avoid the complexities of the analytical approach.
Results
he efficiency surfaces and input voltage charging curves are discussed for fractional-order in the range .
Conclusion
The optimized charging function can approximate the optimal charging curve using at most 4 terms. The charging time and the resistive parameters have the most dominant effect on charging efficiency at constant fractional-order .
中文翻译:
使用布谷鸟搜索对分数阶电路进行优化充电
介绍
RC电路的最佳充电是整数阶领域中一个经过充分研究的问题,因为它从经济和系统温度危害的角度来看很重要。然而,这个问题的分数阶对应问题需要研究。
目标
本研究旨在寻找分数阶RC电路中最节能的输入充电函数的近似解。
方法
本文使用一种称为 Cuckoo 搜索优化器的元启发式优化技术来实现三种常见分数阶RC电路的最大充电效率。建议采用分数电容器电压的解析表达式,使其满足最佳充电问题的边界条件。该问题被表述为具有组合泛函的分数阶变分问题。数值解是在元启发式优化算法的帮助下获得的,以避免分析方法的复杂性。
结果
讨论了以下范围内分数阶的效率表面和输入电压充电曲线。
结论
优化的充电函数最多可以使用4项来逼近最佳充电曲线。在恒定分数阶条件下,充电时间和电阻参数对充电效率影响最大。