Abstract: In order to solve the model mismatch issue for density and liquid level about heavy medium suspension in the process of dense medium separation, implicit Generalized Predictive Control（GPC） is used to make the on-line identification for model parameters and realize the decoupling control for density and liquid level. The simulation result shows that for the control model characteristic of large lag and strong coupling control effect based on implicit GPC?is better. It has strong anti-interference capability, and the system output is still stable in the case of model mismatch.

Key words: dense medium coal preparation, implicit Generalized Predictive Control（GPC）, dense medium suspension, decoupling control

摘要： 为解决重介分选过程中重介质悬浮液密度与液位过程模型失配问题，引入隐式GPC算法对模型参数进行在线辨识，实现对重介质悬浮液的密度与液位解耦控制。仿真结果表明，针对重介分选过程模型具有大滞后、强耦合的这一特性，隐式GPC算法控制效果较好，抗干扰能力强，在模型失配的情况下，仍然保持系统的输出稳定。

关键词: 重介分选, 隐式GPC, 重介质悬浮液, 解耦控制