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首页> 外文会议>International Conference on Control, Decision and Information Technologies >Economic Health-aware MPC-LPV based on DBN Reliability model for Water Transport Network
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Economic Health-aware MPC-LPV based on DBN Reliability model for Water Transport Network

机译：基于DBN可靠性模型的水运网络经济健康意识MPC-LPV

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摘要

This paper proposes an economic health-aware model predictive control (MPC) for Drinking Water Transport Networks (DWN) that includes an additional goal to extend the components and system reliability evaluated using a Bayesian Network. The components and system reliability are incorporated in the MPC model using the LPV approach. The MPC controller uses additionally an economic objective function that determines the optimal filling/emptying sequence of the tanks considering that electricity price varies between day and night. The proposed LPV-MPC control approach allows the controller to accommodate the parameter changes. By computing an estimation of the state variables during prediction, the MPC model can be modified considering the estimated state evolution at each time instant. Moreover, the solution of the optimization problem associated with the MPC problem is achieved by solving a series of Quadratic Programs (QP) at each sampling time. This iterative approach reduces the computational load compared to the solution of a non-linear optimization problem. A part of a real drinking water transport network of Barcelona is used as a case study for illustrating the performance of the proposed approach.
机译：本文提出了一种用于饮用水输送网络（DWN）的经济健康意识模型预测控制（MPC），其中包括一个附加目标，即扩展使用贝叶斯网络评估的组件和系统可靠性。使用LPV方法将组件和系统可靠性纳入MPC模型。 MPC控制器还使用经济目标函数，考虑到电价在白天和黑夜之间变化，从而确定了储罐的最佳填充/排空顺序。提出的LPV-MPC控制方法允许控制器适应参数变化。通过在预测期间计算状态变量的估计，可以考虑每个时刻的估计状态演变来修改MPC模型。此外，通过在每个采​​样时间解决一系列二次程序（QP），可以实现与MPC问题相关的优化问题的解决方案。与非线性优化问题的解决方案相比，该迭代方法减少了计算量。巴塞罗那的真实饮用水运输网络的一部分用作案例研究，以说明所提出方法的性能。

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