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Time-delay process Multivariable model predictive function control for basis weight #x00026; moisture content control system

机译:基重和水分含量控制系统的时滞过程多变量模型预测功能控制

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摘要

In paper-making process Basis weight and moisture content are the two most important control variables which directly determine the performance indexes of finished paper sheet. In Accordance with the two variables' properties of strong coupling, nonlinearity, uncertainty and especially large time delay, a novel method to the model of first order with time delay which is based on Multivariable predictive functional control algorithm is proposed to apply to the basis weight and moisture content control system. The predictive control algorithm depends little upon predictive model and provides feedback modification and local roll optimization which can obtain good control indexes. And the simulation results of the basis weight and moisture content control system demonstrate the responsibility, stability and accuracy of this algorithm as well as robustness in the case of changes of control parameter or operating conditions. And practices prove that the control system can satisfy the requirements of paper-making process.
机译:在造纸工艺基础重量和水分含量的过程中是直接确定成品纸张的性能指标的两个最重要的控制变量。根据强烈耦合,非线性,不确定性和特别大的时间延迟的两个变量的性质,提出了一种基于多变量预测功能控制算法的时间延迟模型的新方法,以应用于基重和水分含量控制系统。预测控制算法几乎取决于预测模型,并提供了可以获得良好控制索引的反馈修改和局部卷优化。并且基础重量和湿度含量控制系统的仿真结果表明了该算法的责任,稳定性和准确性以及控制参数或操作条件的变化的情况下的鲁棒性。和实践证明了控制系统可以满足造纸过程的要求。

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