【摘要】 在实际工业过程中,模型参数往往具有一定的时变性和非线性。为了能够有效地实施过程操作优化,常常要对过程模型参数进行在线估计。滚动时域估计方法是解决非线性系统模型参数在线估计的1种实用方法。滚动时域估计方法的关键问题之一是抵达成本(Arrival Cost)的计算,针对简化计算抵达成本带来的精度问题,提出采用无迹卡尔曼滤波(UKF)算法来近似估算目标函数中的抵达成本。最后,将基于UKF的滚动时域估计方法应用于2个例子中。结果表明,基于UKF的滚动时域估计方法具有较好的估计效果。更多还原

【Abstract】 Many industrial process models are characterized by the presence of time-varying and nonlinear.The model parameters often need to be estimated online for the application of process optimization.Moving horizon estimation method is a kind of practical method to solve nonlinear model parameter on-line estimation.The key issue of MHE is to calculate the arrival cost.The simplified method for the calculation of arrival cost has the accuracy problem.In the paper,moving horizon estimation based on the UKF method is proposed to calculate the arrival cost in the objective function.Finally,the applicability of the proposed method for the parameter on-line estimation is illustrated through two examples.The results of application show that the proposed method is effective for on-line parameter and state estimation of nonlinear systems.更多还原