...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Adaptive Control and Signal Processing >Identification and control of the raw material blending process in cement industry
【24h】

Identification and control of the raw material blending process in cement industry

机译：水泥行业原料混合过程的识别与控制

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper deals with the identification and advanced control of the raw material blending process in cement industry. The process is multivariable and coupled one, because the feeder tanks do not contain homogeneous raw materials chemically. The time delays in the system are also considerable. The disturbances coming from the variations in the chemical compositions of the raw materials from long-term average compositions cause the changes of the system parameters. Therefore, for providing the target values of the oxide compositions of the raw meal determining the high quality of cement, the stochastic multivariable dynamic models are developed and model predictive controllers are designed to calculate the optimal feed ratios of the raw materials despite disturbances. This study consists of two parts; in the identification part, three different linear multivariable stochastic ARX models are proposed. The identification results show that these MISO and MIMO models are good models. In the control part, model predictive control strategy is applied. At the end of the simulation study, the output values reach the specified set points quickly. Also the significant decrease in the variance of controlled outputs is obtained.
机译：本文探讨了水泥工业中原料混合过程的识别和高级控制。该过程是多变量的，并且是一个耦合的过程，因为进料罐中不包含化学均质的原料。系统中的时间延迟也很大。来自长期平均组成的原料化学组成变化引起的干扰会导致系统参数发生变化。因此，为了提供确定水泥质量的生料的氧化物成分的目标值，建立了随机多变量动态模型，并设计了模型预测控制器以计算不受干扰的原材料的最佳进料比。这项研究包括两个部分：在识别部分，提出了三种不同的线性多变量随机ARX模型。识别结果表明，这些MISO和MIMO模型是很好的模型。在控制部分，应用模型预测控制策略。在模拟研究结束时，输出值迅速达到指定的设定点。还获得了受控输出方差的显着降低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号