基于多目标的消磁绕组优化调整方法

朱显桥; 刘大明; 杨明明

基于多目标的消磁绕组优化调整方法

海军工程大学电气与信息学院, 武汉 430033

基金项目: 国防科研资助项目(51310040501)

详细信息

中图分类号: TM153
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- 被引次数: 0
出版历程
- 收稿日期: 2012-04-25
- 网络出版日期: 2012-11-30

Degaussing coils optimal calibration method based on multi-objectives

College of Electrical and Information Engineering, Naval University of Engineering, Wuhan 430033, China

摘要

摘要: 针对目前舰船消磁绕组优化调整方法中只考虑舰艇磁场信号幅值而较少考虑磁场梯度信号幅值的不足,提出同时以磁场幅值和磁场梯度幅值削减为目标的优化调整方法.为此,首先以线圈等效电流值为优化对象,磁场和梯度峰值为优化目标,建立了消磁绕组优化调整的多目标数学模型;随后采用多目标微粒群算法求解得到了该优化问题的Pareto解集;最后通过一个计算实例验证了方法的有效性.实例结果表明该方法能够同时处理磁场和磁场梯度幅值,并能给出多种不同等效电流组合以供选择使用.
- 消磁绕组 /
- 磁场 /
- 磁场梯度 /
- 多目标微粒群算法
Abstract: The current method of ship degaussing coils optimal calibration has a shortage that it only takes the ship’s magnetic field crest value into account while pay less attention to its magnetic gradient crest value. Considering the current method’s shortage, a kind of calibration method with the purpose to reduce the crest value of both the magnetic field and gradient was proposed. Therefore, a multi-objective optimization model of the coils optimal calibration was built firstly with the coils’ equivalent currents as the optimized parameters and peak of both ship’s magnetic field and its gradient as optimized target. Then the Pareto solution set of the optimization problem was obtained by a kind of multi-objective particle swarm optimization (MOPSO). Last, the method’s effectiveness was verified by a certain example. The results show that the method can deal with both the magnetic field and gradient at the same time, and it can provide a set of different currents for the engineer’s choices.
- degaussing coils /
- magnetic field /
- magnetic gradient /
- multi-objective particle swarm optimization

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参考文献(15)

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