磨矿工艺过程优化控制仿真研究

Simulation Study on Optimum Control of Grinding Process

针对磨矿过程中多变量、强干扰、非线性等特点,提出一种改进模糊T-S模型的内模控制的方法。将此算法应用到再磨过程旋给浓度控制回路中,使旋给浓度稳定在一定的范围内,保证磨矿粒度的合格率。通过将变论域的方法与规则修剪的方法相结合改进T-S模糊模型,并将改进后的模糊T-S模型作为内部模型,其逆模型作为内模控制器,并验证了磨矿控制系统的稳定性和鲁棒性。仿真结果表明,改进方法的调节时间短、超调量小、鲁棒性好,验证了所提控制方法的有效性。

Aiming at the characteristics of multi-variable,strong disturbance and nonlinear in grinding process,an internal model control method based on improved T-S fuzzy model is proposed. The proposed algorithm is applied to the pumping concentration control loop in the regrinding process to stabilize the pumping concentration within a certain range,and the qualified rate of the grinding particle size is guaranteed. The fuzzy T-S model is improved by combining the variable universe with the rule pruning method,and the improved model is taken as the internal model,and the inverse improved model is used as the internal model controller. Then,the stability and robustness of the system are verified. The simulation results show that the proposed method has the advantages of short regulation time,small overshoot and good robustness. The validity of the proposed control method is verified.