Improved Genetic Algorithm for Parameter Optimization in Contactless-Power-Transfer System

您当前的位置：

首页 >

文章列表页 >

Improved Genetic Algorithm for Parameter Optimization in Contactless-Power-Transfer System

更新时间：2025-07-09

- Improved Genetic Algorithm for Parameter Optimization in Contactless-Power-Transfer System
- Vol. 46, Issue 2, Pages: 106-112(2012)
- 作者机构：
  
  重庆大学自动化学院,重庆,400030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM74;TP301
- Online First：10 February 2012，
  
  Published：2012
- 稿件说明：
移动端阅览
Improved Genetic Algorithm for Parameter Optimization in Contactless-Power-Transfer System[J]. 2012, 46(2): 106-112.
DOI：

Improved Genetic Algorithm for Parameter Optimization in Contactless-Power-Transfer System[J]. 2012, 46(2): 106-112. DOI：

摘要

为了解决非接触电能传输系统设计中的参数优化问题

提出了一种混合改进遗传解法.首先建立了非线性规划数学模型

其中对频率稳定性约束条件进行了修正; 其次在遗传算法中采用虫口模型产生优良的混沌初始种群

采用“两次归一化”来处理目标及约束函数

并利用可行性规则代替罚函数法来选择优良个体以减少额外的经验参数; 最后设计了均匀变异加高斯变异的混合变异算子以提高算法的全局搜索能力.仿真及实验结果表明:改进后的算法能够较好地突破局部最优解的限制

较快地找到了系统的全局最优参数; 优化后的系统达到了设计要求

且对于负载在约束范围内的动态大范围变化有较强的鲁棒性

如当负载增大为原来的2倍时

输出电压及原边电流的大小及频率基本保持不变.

Abstract

For solving parameter optimization problem in contactless-power-transfer(CPT)system design

a hybrid refined genetic-algorithm(GA)method is proposed. A nonlinear programming(NLP)model is established where the frequency stability constraint condition is modified

then logistic model is considered to produce the fine chaotic initial population in GA

and the two-time normalization is proposed to deal with objective function and constraint functions. And feasibility rules(FR)are used instead of penalty function to choose fine individuals to reduce additional empirical parameters

and a mixture of uniform mutation and Gaussian mutation is designed to improve the global searching capability. The simulation and experiment show that the refined method is endowed with better ability to break the local optimum limitations and to find global optimum parameters quickly

and the optimized system meets design requirements with good robustness when load changes in a large scale within the constraint range. For instance

as the load increases to 2 times of the original

the amplitude and frequency of output voltage and primary current remain unchanged.

关键词

Keywords

references

KEELING N A, COVIC G A, BOYS J T. A unity-power-factor IPT pickup for high-power applications[J]. IEEE Transactions on Industrial Electronics,2010,57(2):744-751.

MADAWALA U K,THRIMAWITHANA D J. Current sourced bi-directional inductive power transfer system[J]. IET Power Electronics,2011,4(4):471-480.

周雯琪,马皓,何湘宁. 感应耦合电能传输系统不同补偿拓扑的研究[J]. 电工技术学报,2009,24(1):133-139.

ZHOU Wenqi,MA Hao,HE Xiangning. Investigation on different compensation topologies in inductively coupled power transfer system[J]. Transactions of China Electrotechnical Society,2009,24(1):133-139.

韩腾,卓放,闫军凯,等. 非接触电能传输系统频率分叉现象研究[J]. 电工电能新技术,2005,24(2):44-47.

HAN Teng, ZHUO Fang, YAN Junkai, et al. Study of frequency bifurcation phenomenon of a contactless power transmission system[J]. Advanced Technology of Electrical Engineering and Energy,2005,24(2):44-47.

武瑛,严陆光,徐善纲. 新型无接触电能传输系统的稳定性分析[J]. 中国电机工程学报,2004,24(5):63-66.

WU Ying, YAN Luguang, XU Shangang. Stability analysis of the new contactless power delivery system[J]. Proceedings of the CSEE,2004,24(5):63-66.

LI H L, HU A P, COVIC G A, et al. Optimal coupling condition of IPT system for achieving maximum power transfer[J]. Electronics Letters,2009, 45(1): 76-77.

SALLAN J, VILLA J L, LLOMBART A, et al. Optimal design of ICPT systems applied to electric vehicle battery charge[J]. IEEE Transactions on Industrial Electronics,2009,56(6):2140-2149.

孙跃,夏晨阳,苏玉刚,等. 导轨式非接触电能传输系统功率和效率的分析与优化[J]. 华南理工大学学报:自然科学版,2010,38(10):123-129.

SUN Yue, XIA Chenyang, SU Yugang, et al. Analysis and optimization of transmission power and efficiency for rail-type contactless power transfer system[J]. Journal of South China University of Technology: Natural Science Edition,2010,38(10):123-129.

PANTIC Z, BHATTACHARYA S, LUKIC S. Optimal resonant tank design considerations for primary track compensation in inductive power transfer systems[C]∥Energy Conversion Congress and Exposition. Atlanta, GA, USA: IEEE,2010:1602-1609.

TESSEMA B, YEN G G. An adaptive penalty formulation for constrained evolutionary optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics: Part A Systems and Humans,2009,39(3):565-578.

郝建波,李宗斌,赵丽萍. 工步排序问题的约束模型及其遗传算法的求解[J]. 西安交通大学学报,2008,42(7):860-864.

HAO Jianbo, LI Zongbin, ZHAO Liping. Genetic algorithm with constraint model for sequencing workingsteps on machining center[J]. Journal of Xi'an Jiaotong University,2008,42(7):860-864.

唐巍,郭镇明,唐嘉亨,等. 复杂函数优化的混沌遗传算法[J]. 哈尔滨工程大学学报,2000,21(5):1-5.

TANG Wei,GUO Zhenming,TANG Jiaheng,et al. Optimizing complex functions by chaos genetic algorithm[J]. Journal of Harbin Engineering University,2000,21(5):1-5.

刘宝英,杨仁刚,李慧,等. 基于混沌遗传算法的电力系统无功优化[J]. 电力系统及其自动化学报,2006,18(5):49-52.

LIU Baoying, YANG Rengang, LI Hui, et al. Reactive power optimization based on chaos genetic algorithm in electric power systems[J]. Proceedings of the CSU-EPSA,2006,18(5):49-52.

DEB K. An efficient constraint handling method for genetic algorithms[J]. Computer Methods in Applied Mechanics and Engineering,2000,186(2/4):311-338.

YENIAY O. Penalty function methods for constrained optimization with genetic algorithms[J]. Mathematical and Computational Applications,2005,10(1):45-56.

COELLO COELLO C A. Theoretical and numerical constraint handling techniques used with evolutionary algorithms: a survey of the state of the art[J]. Computer Methods in Applied Mechanics and Engineering,2002,191(11/12):1245-1287.

WANG C, COVIC G A, STIELAU O H. Power transfer capability and bifurcation phenomena of loosely coupled inductive power transfer systems[J]. IEEE Transactions on Industrial Electronics,2004,51(1):148-157.

空空导弹分数阶三回路自动驾驶仪的分析与参数优化. 西安交通大学学报,2011,45(12):33-38.

采用遗传算法的自适应随机共振系统弱信号检测方法研究. 西安交通大学学报,2010,44(3): 32-36.

多悬臂梁压电振子频率分析及发电实验研究. 西安交通大学学报,2010,44(2): 98-101.

摇臂式月球车的运动学建模及悬架参数优化. 西安交通大学学报,2009,43(9): 62-66.

采用通用膜厚方程的动压径向轴承形状优化. 西安交通大学学报,2009,43(1): 57-61.

正交频分复用分组传输系统中载波频偏和信道的联合估计. 西安交通大学学报,2008,42(6):739-742.

基于Simplorer的三相开关磁阻起动/发电系统建模研究. 西安交通大学学报,2007,41(10): 1210-1213.

遗传算法在直流伺服系统摩擦补偿中的应用. 西安交通大学学报,2007,41(8): 944-948.

改进粒子群算法及其在超导电缆参数优化中的应用. 西安交通大学学报,2007,41(2):219-222.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimized Epithermal Neutron Field Design Based on D-D Neutron Source

Analysis of Oscillation Mechanism and Parameter Optimization Configuration for New Energy Power Generation Grid-Connected System Participating in Primary Frequency Modulation

Optimization Design of Epithermal Neutron Field Based on D-D Neutron Source

Chaos Small-World Optimal Algorithm Based on Population Entropy

Synchronization of a Class of Partially Unknown Chaotic System with Adaptive Nonlinear Observer

Related Author

JIANG Quanxu

HAN Zheng

LIN Xingyang

YANG Shanghui

DAI Yuqi

ZHANG Tianjiao

CHEN Tian

MA Baolong

Related Institution

华硼中子科技（杭州）有限公司，310000，杭州Hua Boron Neutron Technology（Hangzhou）Co., Ltd., Hangzhou 310000, China

西安交通大学湖州中子科学实验室，313000，浙江湖州Huzhou Neutron Science Laboratory, Xi'an Jiaotong University, Huzhou, Zhejiang 313000, China

西安交通大学核科学与技术学院，710049，西安School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China

Northwest Branch of State Grid Corporation of China

School of Electrical Engineering, Xi'an Jiaotong University

⁰