Optimization Method for Excitation Circuit of Permanent Magnetic Actuator Based on Regression Design Model
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Optimization Method for Excitation Circuit of Permanent Magnetic Actuator Based on Regression Design Model
Vol. 42, Issue 6, Pages: 1724-1730(2016)
作者机构:
1. 同济大学电子与信息工程学院
2. 内蒙古电力科学研究院
3. 正泰电气股份有限公司
作者简介:
基金信息:
DOI:
CLC:
Published Online:30 June 2016,
Published:2016
稿件说明:
移动端阅览
JIN Lijun, GUO Yu, WANG Zeze, et al. Optimization Method for Excitation Circuit of Permanent Magnetic Actuator Based on Regression Design Model[J]. 2016, 42(6): 1724-1730.
DOI:
JIN Lijun, GUO Yu, WANG Zeze, et al. Optimization Method for Excitation Circuit of Permanent Magnetic Actuator Based on Regression Design Model[J]. 2016, 42(6): 1724-1730.DOI:
Optimization Method for Excitation Circuit of Permanent Magnetic Actuator Based on Regression Design Model
摘要
永磁操动机构励磁回路是影响其合闸特性的关键结构。为此对其工作原理和经典数学模型进行分析
针对经典模型中涉及的励磁回路主要变量
基于二次回归正交试验建立数学模型
研究回路中储能电容容量、初始电压及励磁线圈匝数等参数对机构合闸特性的影响
并在此基础上定义了励磁回路综合评价系数
利用该系数对机构进行优化设计。优化结果显示:优化后机构平均合闸速度提升的同时大大降低了储能电容容量
综合优化率达到61%
使得励磁回路参数配置合理化
机构执行能力高效化。真空断路器永磁操动机构励磁回路的优化设计通过了仿真试验验证
为机构开发及结构优化提供了技术支持。
Abstract
The excitation circuit of permanent magnetic actuator is the key structure affecting the switching characteristics. From the analysis of its working principle and the classical mathematic model
we focused our research contents on the main variables of the excitation circuit involved in the classical model. Then
using the method of quadratic regression orthogonal design
we built and optimized model for excitation circuit of permanent magnetic actuator. Also we defined comprehensive coefficient for the excitation circuit optimization design and evaluation. The optimization results show that
as average closing speed increases
the capacitance of storage batteries can be reduced by 55%. The rate of optimization is 61%
which makes the circuit more efficient. The design parameters of the excitation circuit are tested and verified by experiment finally
which provides technical support for the development and structure optimization of the system.