Abstract In this paper, the stochastic optimization blending operation is applied to the alumina production in this paper. A new binomial distribution based stochastic scenario optimization used together with the sample selection approach is utilized to design the optimal set point for control, under which the probability of quality indices of the raw slurry being within the tolerance region is high enough in the presence of uncertainties caused by fluctuation of the raw material and disturbances. Through practical industrial experiments, it is observed that the proposed stochastic optimization method is effective and the computational cost is low.

中文翻译：

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氧化铝共混工艺实时运行的随机优化

摘要 本文将随机优化混合操作应用于氧化铝生产。一种新的基于二项式分布的随机场景优化与样本选择方法一起用于设计最佳控制设定点，在存在不确定性的情况下，原料浆的质量指标在容差范围内的概率足够高原材料的波动和扰动造成的。通过实际的工业实验，观察到所提出的随机优化方法有效且计算成本低。