A nonlinear dynamic model considering the effect of heat transfer on outlet pulverized coal mass flow is established based on the principles of conservation laws. Raw coal moisture estimation which is connected to coal mass and internal energy in coal mills is included in the model. The model has proved to have good predictions and reflects the dynamics of the coal mill by verifications on historical data and dynamic simulation tests. Results show that the mean absolute error of mill differential pressure, mill electric current and outlet primary air temperature are 3.08%, 3.05% and 0.05% on validation operation data, respectively. The predictions fit the curves of the measured data that cover the whole operation of coal mill from starting up to shutting down.

基于守恒定律原理，建立了考虑传热对出口煤粉质量流量影响的非线性动力学模型。模型中包含与煤质量和磨煤机内能相关的原煤水分估计。通过历史数据的验证和动态模拟试验，证明该模型具有良好的预测性，反映了磨煤机的动态。结果表明，磨机压差、磨机电流和出口一次风温度的平均绝对误差在验证运行数据上分别为3.08%、3.05%和0.05%。预测拟合了覆盖磨煤机从启动到停机整个运行过程的实测数据曲线。