一种水冷磁体优化方法及系统
By combining population initialization, asymmetric penalty model and discrete pseudo-gradient descent algorithm to optimize the design of water-cooled magnets, the problem of optimization under multiple variables and strong constraints in the existing technology is solved, achieving efficient and accurate coil structure configuration, shortening the R&D cycle and reducing costs.
CN122154107BActive Publication Date: 2026-07-17HEFEI INSTITUTE OF PHYSICAL SCIENCE CHINESE ACADEMY OF SCIENCES
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI INSTITUTE OF PHYSICAL SCIENCE CHINESE ACADEMY OF SCIENCES
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
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Figure CN122154107B_ABST
Abstract
本发明公开了一种水冷磁体优化方法及系统，涉及稳态强磁场装置技术领域，方法包括：种群初始化；对不通过校验的个体返回惩罚值作为综合适应度值，对通过校验的个体求取中心轴向磁场与系统总消耗功率，利用不对称惩罚模型结合系统总消耗功率，计算出综合适应度值；若当前迭代代数满足局部搜索触发条件，根据综合适应度值，对当前种群中的个体进行排序，选取前个个体作为局部寻优的初始解，进入局部搜索环节；当不满足局部搜索触发条件，执行全局的交叉操作与变异操作，生成新一代候选种群；满足设定的终止条件时输出全局最优解对应的系统总消耗功率与中心轴向磁场，并生成水冷磁体的配置方案；本发明的优点在于：兼顾全局搜索广度与局部寻优精度。
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