具有多优先级的多变量实时在线决策支持系统

A multi-variable real-time online decision support system with multi-priority

中文关键词  多目标分层优化  模型预测控制  多优先级  决策支持

英文关键词  multi-objective and layered optimization  model predictive control (MPC)  multi-priorities  decision support system

中文摘要

      生产过程中, 操作人员的操作经验影响生产效益和安全, 为此本文结合双层预测控制中稳态目标计算思想, 提出了一种具有优先级的实时在线决策支持系统. 针对实际生产过程无法确定准确的代价系数的问题, 引入操作优 先级的思想, 结合稳态目标计算层被控变量的优先级优化方法, 计算最优操作目标(被控变量和操作变量), 解决了 模块多变量操作指导中每层模块无法区分变量重要性的问题, 并说明了二者在结构上的相似性. 最后给出应用本 文提及的方法进行决策支持的一个例子, 验证该方法的有效性.

英文摘要

      Operation experiences of operators affect the enterprise economic benefit and production safety in the production process. Motivated by improving efficiency and safety, a real-time online decision support system with priority is proposed in this paper, combining with the idea of steady-state target calculation (SSTC) in two-layer model predictive control (MPC). For the case that cost coefficient can not be determined accurately, the operation priority optimization method is introduced. the optimal operation target (including controlled variables and manipulated variables) is calculated based on the priority idea of controlled variables of SSTC layer. The problem that the importance of independent variables can’t be distinguished for each layer modules in modular multivariable operation guidance is solved, and the similarity of structure between multi-priority optimization and modular multivariable optimization is explained. Finally, an example of decision support system based on the proposed method is taken and the effectiveness of the methods mentioned is proved.