摘要
要保证磨煤机的最佳运行工况,就要使磨煤机的负荷,温度,入口负压稳定在最佳值附近,传统的模糊控制在磨煤机系统中虽运用广泛,但是完全基于专家经验的控制很难保证系统运行在最佳状态下,因此提出了采用遗传算法优化模糊控制隶属度函数的方法控制磨煤机的运行,解决了由于专家经验的不精确性带来的不足.
To ensure the best operation condition of the storage bunker ball mill, we must make its load, temperature, and its inlet negative pressure be closed to the best value. The traditional fuzzy control of storage bunker ball mill is used widely now, but it is very difficult to guarantee the system run in the best condition if the control totally accord to the expert experience. Therefore this passage adopts the genetic algorithm to optimize membership function of the fuzzy control to control the operation of the system. This way can avoid the subjectivity of membership function depending on expert experience.
出处
《计算机系统应用》
2015年第11期14-21,共8页
Computer Systems & Applications
关键词
磨煤机
遗传算法
模糊控制
优化隶属度函数
storage bunker ball mill
genetic algorithm
fuzzy control
optimize membership function
