On-Line Optimization and Control Using Dynamic Process Models

使用动态过程模型的在线优化和控制

• 批准号: 8713469
• 负责人: Babu Joseph
• 金额: $ 13.34万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-11-15 至 1990-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8713469&HistoricalAwards=false
• 关键词: Line; Optimization; Control; Using; Dynamic

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).

工厂范围的优化和集成加工厂是目标， 行业计划在不久的将来实施。 最佳工艺 操作，可以降低成本，提高产量， 这是当前计算机技术可能实现的。 在本项目中PI计划研究在线优化和控制 复杂或集成过程单元的策略， 过程模型 动态过程模型的使用确保了 利用电流瞬态测量以及最佳的 通过可行域到达稳态最优的路径。 的 最终产品将是技术，以适应中期 干扰影响的过程和推导的 对设定点进行必要的更改，以使机组或工厂保持在 最佳性能。 具体采用的方法是将问题分解为两个 阶段：识别阶段（流程模型的协调 与最近过去的所有可用过程测量）和 优化阶段（使用更新后的模型计算 最大化目标的操纵输入轨迹 函数）。