间歇过程的批间自优化控制

Batch-to-batch self-optimizing control for batch processes

针对间歇过程的实时优化问题,提出了一种基于最优性条件近似法的批间自优化控制策略。首先获取标称工作点的最优输入轨迹形态,将其参数化为少量决策变量,简化问题复杂度。然后根据参数化后的决策变量得到批间优化的最优性条件,并建立批次终端可测变量和最优性条件之间的回归模型,将其作为被控变量进行批间跟踪控制。对一个间歇反应器进行了仿真研究,结果表明方法能有效实现间歇过程的批间自优化控制。

For real-time optimization of batch processes, a batch-to-batch self-optimizing control approach is proposed based on necessary conditions of optimality approximation method. Firstly, the nominal optimal input trajectory is numerically obtained, which is further parameterized as a few decision variables to simplify the problem complexity. Secondly, the optimality conditions for the batch-to-batch optimization problem are analyzed, from which regression models are built using terminal measurements. The obtained regression models are further adopted as controlled variables to be tracked from batch to batch. The proposed method is applied to a simulated batch reactor. The results show that the new method can realize batch-wise self-optimizing control efficiently.