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首页> 外文期刊>International Journal of Innovative Computing Information and Control >MARGIN SAVING MODEL PREDICTIVE CONTROL WITH OPERATING POINT BACK-OFF
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MARGIN SAVING MODEL PREDICTIVE CONTROL WITH OPERATING POINT BACK-OFF

机译：具有工作点回退功能的边际节省模型预测控制

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摘要

In chemical processes, design margins must be added on the nominal values of design variables during process design period, so the operating point will move into the feasible domain and there are sufficient operating margins between current operating point and process constraints. When plants running, process operators and engineers usually hope the operating margin consumption to be as little as possible in dynamic control process in order to keep more operating space for operation optimization. Model predictive control can deal with the problems of constrained control and multivariable control, but the optimal control sequence may reach the boundary of the feasible domain due to constraints. Therefore, a margin saving model predictive control algorithm is proposed through adding a margin loss function indicating operating margin reduction amount to the optimal control performance index function of conventional model predictive control, making the operating point back-off from the boundary of the feasible domain. Through the steady-state analysis, the margin saving effects for manipulated variables and the tracking effects for controlled variables can be found. Finally, a simulation case is given to illustrate the effectiveness of the algorithm.
机译：在化学过程中，必须在过程设计期间将设计裕度添加到设计变量的标称值上，这样操作点才能进入可行范围，并且当前操作点和过程约束之间有足够的操作裕度。在工厂运行时，过程操作员和工程师通常希望动态控制过程中的操作余量消耗尽可能少，以便为操作优化保留更多的操作空间。模型预测控制可以解决约束控制和多变量控制的问题，但由于约束条件，最优控制序列可能会到达可行域的边界。因此，通过在传统模型预测控制的最优控制性能指标函数中增加表示操作余量减少量的余量损失函数，提出了一种节省余量的模型预测控制算法，使工作点偏离了可行域的边界。通过稳态分析，可以发现受控变量的裕量节省效应和受控变量的跟踪效应。最后，给出了一个仿真案例来说明该算法的有效性。

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