Lagrange multiplier optimization method for high current-low frequency inductor design

被引:1
|
作者
Marques, Hugo dos Santos [1 ]
Borges, Maria Beatriz [2 ]
机构
[1] Escola Super Naut Infante D Henrique, Dept Engn Maritima, Paco Arcos, Portugal
[2] Inst Telecomunicacoes, Lisbon, Portugal
关键词
Lagrange multipliers; Computational electromagnetics; Active power filters; Electromagnetism; Optimal design; ACTIVE POWER FILTER; COMPENSATION; SYSTEM; CHOKE;
D O I
10.1108/COMPEL-09-2022-0304
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
PurposeThis paper aims to overcome the lack of methodologies for optimizing the volume of bulky low-frequency inductors that the authors came across with when working on the design of hybrid active power filters. Sound work was published concerning this well-known technology, but it became evident that the mentioned optimization topic was left unaddressed. Design/methodology/approachUsing the Lagrange multipliers optimization method combined with the electromagnetic laws of inductor design, it was possible to establish a new design method to determine the optimal solutions that fulfil any given scenario of specifications. In other words, it is now possible to obtain the inductor's geometric and electric parameters that not only satisfy the system's electromagnetic requirements but also lead to smaller, lighter or economical solutions. FindingsA generalized set of equations was obtained to facilitate the calculations of all the inductor-building parameters. As expected, these equations take as inputs the inductor's required inductance, its maximum current and the desired resistance, but also a customizable cost function. The later cost function will optimize the inductor's volumes of copper and iron and can be settled, among other purposes, for minimizing the total weight, volume or cost. Originality/valueAll the mathematical expressions to obtain the general optimal solutions are given as well as practical graphics for the three above-mentioned optimization criteria. Using these charts, the reader will be able to obtain by simple inspection the optimal solutions for a large, generalized universe of intended specifications.
引用
收藏
页码:1382 / 1395
页数:14
相关论文
共 50 条
  • [1] An Optimization Procedure of the Lagrange Multiplier Method for Polarimetric Power Optimization
    Chen, Qiang
    Jiang, Yong-Mei
    Zhao, Ling-Jun
    Gao, Gui
    Kuang, Gang-Yao
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2009, 6 (04) : 699 - 702
  • [2] Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization
    Myung, Hyun
    Kim, Jong-Hwan
    Journal of Advanced Computational Intelligence and Intelligent Informatics, 2000, 4 (02) : 158 - 163
  • [3] Analytical optimization of photovoltaic output with Lagrange Multiplier Method
    Louzazni, Mohamed
    Khouya, Ahmed
    Al-Dahidi, Sameer
    Mussetta, Marco
    Amechnoue, Khalid
    OPTIK, 2019, 199
  • [4] APPLICABILITY OF LAGRANGE MULTIPLIER METHOD TO OPTIMIZATION OF QUADRATIC SYSTEMS
    MALINOWSKI, KB
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1977, 22 (04) : 648 - 651
  • [5] Multiple Lagrange multiplier method for constrained evolutionary optimization
    Myung, H
    Kim, JH
    SIMULATED EVOLUTION AND LEARNING, 1999, 1585 : 2 - 9
  • [6] A LAGRANGE MULTIPLIER EXPRESSION METHOD FOR BILEVEL POLYNOMIAL OPTIMIZATION
    Nie, Jiawang
    Wang, Li
    Ye, Jane J.
    Zhong, Suhan
    SIAM JOURNAL ON OPTIMIZATION, 2021, 31 (03) : 2368 - 2395
  • [7] Decoupling Capacitor Placement Optimization With Lagrange Multiplier Method
    Xu, Zhifei
    Wang, Jun
    Fan, Jun
    2020 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY AND SIGNAL & POWER INTEGRITY VIRTUAL SYMPOSIUM(IEEE EMC+SIPI), 2020, : 22 - 25
  • [8] Optimal Design Based on Lagrange Multiplier Approach for Parasitic Capacitance of High Frequency High Voltage Transformers
    Xu Y.
    Chen L.
    Chen Y.
    Xu B.
    Ding H.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2017, 37 (03): : 939 - 945
  • [9] Design and Evaluation of High Current PCB Embedded Inductor for High Frequency Inverters
    Biglarbegian, Mehrdad
    Shah, Neel
    Mazhari, Iman
    Enslin, Johan
    Parkhideh, Babak
    APEC 2016 31ST ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, 2016, : 2998 - 3003
  • [10] Comparison and Simulation of Particle Swarm Optimization and Lagrange Multiplier Method
    Zhou, Xuesong
    Zhang, Bo
    Ma, Youjie
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 1210 - 1213