On-Line Optimization and Control Using Dynamic Process Models

工厂范围的优化和集成工艺工厂是工业计划在不久的将来实施的目标。优化的工艺操作，可以降低成本，提高产量，是潜在的实现与当前的计算机技术。在这个项目中，PI计划使用动态过程模型研究复杂或集成过程单元的在线优化和控制策略。动态过程模型的使用保证了电流暂态测量的有效利用，并通过可行区域找到了达到稳态最优的最优路径。最终产品将是适应中期干扰的技术，这些干扰会影响过程，并对设定值进行必要的更改，以保持机组或工厂的最佳性能。要使用的具体方法是将问题分解为两个阶段：识别阶段（将过程模型与最近的所有可用过程度量相协调）和优化阶段（使用更新的模型计算将使目标函数最大化的操纵输入的轨迹）。

Plant wide optimization and integrated process plants are goals that industry is planning to implement in the near future. Optimal process operation, which can decrease costs and increase yields, is potentially attainable with current computer technology. In this project the PI plans to study on-line optimization and control strategies for complex or integrated process units using dynamic process models. The use of dynamic process models ensures the utilization of current transient measurements as well as an optimum path to the steady state optimum through the feasible region. The final product will be techniques to accommodate medium term disturbances that affect the process and the derivation of the necessary changes to the set points to keep the unit or plant at optimum performance. The specific approach to be used is to decompose the problem into two phases: an identification phase (reconciliation of the process model with all available process measurements of the recent past) and an optimization phase (using the updated model to calculate the trajectory of manipulated inputs which will maximize the objective function).