摘要
为解决硅单晶提拉生长过程中拉速不稳定、波动较大的问题,在分析晶体生长界面热量及质量传输的基础上,通过控制温度补偿速率来抑制拉速大幅波动。采取基于遗传算法优化隶属度函数的模糊控制策略,对温度补偿速率进行控制,调节加热功率,使炉内热环境处于适宜晶体生长的范围。实验结果表明,在提高系统控径精度的同时,拉速稳定性也有显著提高,大幅波动明显减少。
For the purpose of reducing the pull rate fluctuation during the Czochralski crystal growth process of single silicon, the approach of controlling the temperature compensation rate was presented based on analyzing the energy and mass balance at the solid-liquid interface. A new fuzzy control method was proposed of which the membership function parameters were optimized using the genetic algorithm to tune the power input, thus the inner circumstance of the furnace was more suitable for the crystal growth. Experiment data verifies that with this approach, the precision of the crystal diameter was improved and the pull rate fluctuation was considerable reduced also.
出处
《人工晶体学报》
EI
CAS
CSCD
北大核心
2009年第6期1493-1498,共6页
Journal of Synthetic Crystals
关键词
温度补偿
拉速稳定性
模糊控制
遗传算法
提拉法
temperature compensation
pull rate stability
fuzzy control
genetic algorithm
Czochralski method