煤炭工程 ›› 2023, Vol. 55 ›› Issue (5): 26-31.doi: 10.11799/ce202305005

• 设计技术 • 上一篇    下一篇

重介质分选过程的多模型切换自适应控制

张超1,戈勇2,高建兵1,孙洪涛2,张玉军1   

  1. 1. 国能包头能源有限责任公司煤炭洗选分公司
    2. 中煤科工集团北京华宇工程有限公司
  • 收稿日期:2022-11-04 修回日期:2023-02-06 出版日期:2023-05-19 发布日期:2023-05-19
  • 通讯作者: 戈勇 E-mail:13681106995@163.com

Multi-model Switching Adaptive Control for Dense Medium Separation Process

  • Received:2022-11-04 Revised:2023-02-06 Online:2023-05-19 Published:2023-05-19

摘要: 目前重介质分选由于过程复杂、且生产过程干扰较大,具有强非线性等特点。因此,重介质分选过程的自适应控制成为生产提质增效的关键。针对重介质分选密度回路和重介质分选过程的非线性特点,提出了一种多模型切换自适应控制方法。该方法首先采用随机向量函数链接网络(RVFLN)估计系统未建模动态项,并设计了线性和非线性自适应控制器,在此基础上,设计了切换机制,使两种控制器切换作用,提高了系统控制性能,提升控制精度,进而增加选煤厂的经济效益。最后采用万利一矿选煤厂的实际运行数据对重介质分选密度回路进行了仿真实验,验证了该方法的有效性。

关键词: 重介质分选, 自适应切换控制, 重介质悬浮液密度

Abstract: Dense medium separation process occupies a dominant position in the development of coal preparation industry, but the dense medium separation process often has strong nonlinear characteristics due to the complex process and the large disturbance. In this paper, a multi-model switching adaptive control method is proposed for the density loop of dense medium separation. First, random vector function link network (RVFLN) is employed to estimate the unmodeled dynamics of the system, and linear and nonlinear adaptive controllers are designed. Based on them, the switching mechanism is designed to make the controllers switch according to the raw coal quality, and further improves the control performance and accuracy, thereby improving the economic efficiency of coal preparation plants. Finally, simulation experiments with actual data have been carried out on the density loop of dense medium separation, which shows the effectiveness of the proposed method.

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