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首页> 外文会议>Control Systems 98 Conference on the Development and Application of Process Control and Management Technology in the Pulp and Paper Industry "Information Tools to Match the Evolving Operator Role", Sep 1-3, 1998, Porvoo, Finland >CONSTRAINED MODEL PREDICTIVE CONTROL OF A PAPER MACHINE SAVEALL
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CONSTRAINED MODEL PREDICTIVE CONTROL OF A PAPER MACHINE SAVEALL

机译：纸机保存的约束模型预测控制

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摘要

Efficient operation of a paper machine disk saveall requires that the saveall vat level be kept constant by manipulating the rotational speed of the disk, the flow rate of "cloudy" water to the vat, or both. On some savealls, the disk speed must be limited, otherwise mat formation deteriorates. To stabilize the stock composition in the headbox, it is desirable to constrain cloudy flow changes since sweetener addition is made in proportion to the cloudy flow. Thus, it is difficult to satisfy all of the control objectives (close control of the vat level, protection against disk speed saturation, low cloudy flow manipulation, etc.) simultaneously. To address this problem, a multivariable, constrained, model predictive controller (MPC) was applied. A notable feature of the implementation is that the standard MPC performance index was simplified to include only the quadratic errors at a single future point, and the current control increments, rather than summing over horizons. This simplified the calculations significantly so that the algorithm could be implemented on a multifunction controller with limited capabilities. Mill application results indicated that MPC showed some improvement over the existing control scheme, and was simple to implement and tune. Furthermore, MPC proved to be robust to process-model mismatch and coped well during upset conditions.
机译：造纸机盘储蓄罐的有效操作要求通过操纵盘的旋转速度，流入缸的“浑浊”水的流量或两者来保持储蓄罐的水位恒定。在某些压力下，必须限制磁盘速度，否则垫的形成会恶化。为了稳定流浆箱中的原料组合物，由于添加的甜味剂与混浊流量成比例，因此希望限制混浊流量的变化。因此，难以同时满足所有控制目标（对桶水平的紧密控制，防止盘速度饱和的保护，低浊流操纵等）。为了解决此问题，应用了多变量，受约束的模型预测控制器（MPC）。该实现的一个显着特征是将标准MPC性能指标简化为仅包含单个未来点的二次误差，并且当前控制递增，而不是在范围上求和。这显着简化了计算，因此该算法可以在功能有限的多功能控制器上实现。 Mill的应用结果表明，MPC对现有的控制方案进行了一些改进，并且易于实现和调整。此外，MPC被证明对过程模型不匹配具有强健性，并且在不正常情况下也能很好地应对。

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