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利用传热和传质的基本方程导出了回旋式烘窑的动态模型。该模型是以具有确定边界条件的四联立非线性双曲线型偏微分方程组来描述的,显示了烘干过程为一非线性很强的分布参数系统。用导出的复杂数学模型作为对象置于控制回路,简化模型用于参数估计,与辨识器结合以跟踪过程动态特性的变化,为控制系统的参数整定提供决策。在采用普通最小二乘参数估计法(LS)的基础上引入了仪表变量最小二乘参数估计法(IVLS),取得良好效果。
Based on the basic equations of heat transfer and mass transfer, the dynamic model of the rotary kiln is derived. The model is described by a quadrilateral set of nonlinear hyperbolic partial differential equations with defined boundary conditions, showing that the drying process is a highly nonlinear distribution parameter system. Using the derived complex mathematical model as the object in the control loop, the model is simplified for parameter estimation and combined with the recognizer to track the change of the dynamic characteristics of the process to provide decision-making for the tuning of the control system parameters. The least squares parameter estimation method of instrument variables (IVLS) is introduced based on the general least squares parameter estimation (LS), which achieves good results.