机会约束模型预测控制一种适用于污水管网的改进方法
Chance-Constrained Model Predictive Control A reformulated approach suitable for sewer networks
摘要：
在这项工作中，机会约束（CC）的模型预测控制（MPC）的一个修订制定。这项工作的重点是对修订后的CC-MPC的数学公式，背后的原因，需要其修订。修订后的公式是在下水道系统及其堰溢流结构的背景下给出的。利用Astlingen基准下水道模型的线性下水道模型来说明该制剂的应用，无论是数学上的和性能明智的通过模拟。基于模拟，比较的性能之间进行了修订的CC-MPC和可比的确定性MPC，重点是溢出避免，计算时间和操作行为。仿真结果表明，两种MPC的溢出避免性能相似，而CC-MPC的计算时间略有增加，同时操作行为受到限制
英文摘要：
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
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