In this work, we present an Observer-based Economic Model Predictive Control (OEMPC) scheme for Direct Contact Membrane Distillation (DCMD). To compute control actions via MPC strategy, full knowledge of the system states is necessary to predict the future evolution of the system. However, the full state measurement for DMCD is either difficult or costly. In this work, an integrated framework of an observer design and EMPC paradigm is proposed for the DMCD process. Numerical simulations are presented to illustrate the performance of the proposed observer design. Closed-loop simulations show that the proposed OEMPC scheme was able to operate the process economically while satisfying process and input constraints.

在这项工作中，我们提出了一种基于观察者的直接接触膜蒸馏（DCMD）的经济模型预测控制（OEMPC）方案。为了通过MPC策略计算控制动作，必须全面了解系统状态才能预测系统的未来发展。但是，DMCD的全状态测量既困难又昂贵。在这项工作中，为DMCD流程提出了一个观察者设计和EMPC范例的集成框架。数值模拟用来说明所提出的观测器设计的性能。闭环仿真表明，所提出的OEMPC方案能够经济地运行过程，同时满足过程和输入约束。