Disturbance Rejection Using a Simplified Predictive Control Algorithm
Disturbance Rejection Using a Simplified Predictive Control Algorithm
复制标题
使用简化的预测控制算法进行干扰抑制
DOI：
10.1021/ie049288h
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发表时间：
2005
影响因子：
4.2
通讯作者：
Y. Gupta
中科院分区：
文献类型：
--
作者：
Futao Zhao;Y. Gupta
先前提出了用于简化模型预测控制（SMPC）算法的扰动预测变量（Gupta，Y。P. Comput。Ind。1993，21，255）。在本文中，为提出的预测变量得出了闭环传输函数，并分析了其性能。分析表明，预测变量可改善干扰拒绝。提出了一种新的优化方案，用于在线确定干扰预测因子中使用的调整参数。干扰预测因子适用于许多行业中通常发生的非组织ARIMA干扰的三个示例问题。与广义分析预测变量的比较表明，提出的干扰预测指标可改善控制性能。另外，提出了达林的调整参数与SMPC算法之间的关系。这种关系可以通过使用闭环时间常数的所需值选择SMPC算法的调谐参数。
A disturbance predictor was proposed earlier for a simplified model predictive control (SMPC) algorithm (Gupta, Y. P. Comput. Ind. 1993, 21, 255). In this paper, a closed-loop transfer function is derived for the proposed predictor, and its performance is analyzed. The analysis shows that the predictor offers an improvement in disturbance rejection. A new optimization scheme is proposed for online determination of a tuning parameter employed in the disturbance predictor. The disturbance predictor is applied to three example problems for nonstationary ARIMA disturbances that commonly occur in many industries. A comparison with the generalized analytical predictor shows that the proposed disturbance predictor provides an improved control performance. In addition, a relationship between the tuning parameter of the Dahlin and SMPC algorithms is presented. This relationship enables the selection of the tuning parameter of the SMPC algorithm by using a desired value of the closed-loop time constant.