论文标题
偶然受限的模型预测控制适合下水道网络的重新打印方法
Chance-Constrained Model Predictive Control A reformulated approach suitable for sewer networks
论文作者
论文摘要
在这项工作中，提出了经过修订的机会约束（CC）模型预测控制（MPC）。这项工作的重点是修订后的CC-MPC的数学表述，以及对其修订的需求背后的原因。修订的配方是在下水道系统及其堰溢结构的背景下给出的。 Astlingen基准下水道模型的线性下水道模型可用于通过模拟以数学和性能的方式说明配方的应用。基于模拟，在修订后的CC-MPC和可比的确定性MPC之间进行了性能的比较，重点是避免溢出，计算时间和操作行为。对于两种类型的MPC，模拟显示出相似的溢出性能，而CC-MPC的计算时间略有增加，并且操作行为受到限制
In this work, a revised formulation of Chance-Constrained (CC) Model Predictive Control (MPC) is presented. The focus of this work is on the mathematical formulation of the revised CC-MPC, and the reason behind the need for its revision. The revised formulation is given in the context of sewer systems, and their weir overflow structures. A linear sewer model of the Astlingen Benchmark sewer model is utilized to illustrate the application of the formulation, both mathematically and performance-wise through simulations. Based on the simulations, a comparison of performance is done between the revised CC-MPC and a comparable deterministic MPC, with a focus on overflow avoidance, computation time, and operational behavior. The simulations show similar performance for overflow avoidance for both types of MPC, while the computation time increases slightly for the CC-MPC, together with operational behaviors getting limited
