耐火与石灰 ›› 2017, Vol. 42 ›› Issue (5): 12-16.

• 综述 • 上一篇    下一篇

活性石灰回转窑智能专家控制系统的实现

张韬   

  1. 新兴河北工程技术有限公司, 邯郸056107
  • 出版日期:2017-10-10 发布日期:2017-10-10

Realization of expert intelligent control system of active lime rotary kiln

Zhang Tao   

  1. Xinxing Hebei Engineering & Research Inc.,Ltd.,Handan 056107,China
  • Online:2017-10-10 Published:2017-10-10

摘要:

回转窑白灰工艺比较复杂,产品产量、质量受原料情况、物料运动速度、煅烧温度、燃料供给、助燃风、主抽风等各项工艺参数及窑内工况综合影响。本文提出了以BP神经网络为预测技术基础,通过在线数据收集进行模型自学习、自整定的模仿生物神经元的技术,建立高精度控制模型。预测控制算法是解决现场多变量耦合作用、大时滞系统的有效控制算法,适用性强。在实践过程中,通过煅烧窑燃烧装置和控制系统,对物料煅烧过程进行控制,使整个生产系统按照预设的参数自动运行,石灰石得以在预定的温度曲线下完成分解过程,生产出优质的成品灰。

Abstract:

The lime process of rotary kiln is relatively complex,and the output and quantity of the products are influenced by material condition,material conveying speed,burning temperature,fuel supply,combustion air and main suction and other process parameters as well as working condition inside the kiln.Combined with lime process of the rotary kiln,this paper puts forwards technology of imitating biological neurons for model auto tuning by collecting online data with the basis of prediction technology of BP neuron network,and establishes high precision control model.The predictive control algorithm is an effective control algorithm with good applicability which can solve on\|site multi\|variable coupling effect and big time delay system.In practice,the burning process is controlled by burning unit and control system,the whole production system can run automatically according to the default parameters,and the limestone decomposes completely following the default temperature curve to produce high quality lime.

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