We propose a cooperative distributed MPC that is designed to lay in an intermediary layer of the process control structure. The distributed controller will deal with optimal targets defined by the real time optimization layer. The outputs are driven to artificial set points that are kept inside control zones while the inputs are driven to the optimum targets. Stability is assured by terminal constraints softened with slacks. These constraints are included in the control problem to bound the control cost. It is shown that convergence to the optimum target is related to the tuning parameters of the controller. The application of the proposed cooperative-distributed controller is simulated in an industrial crude distillation system including two distillation columns and a heating furnace.

我们提出了一种协作分布式 MPC，旨在放置在过程控制结构的中间层。分布式控制器将处理实时优化层定义的最优目标。输出被驱动到保持在控制区域内的人工设定点，而输入被驱动到最佳目标。稳定性是通过用松弛来软化的终端约束来保证的。这些约束包含在控制问题中以限制控制成本。结果表明，对最佳目标的收敛与控制器的整定参数有关。所提出的协同分布控制器在包括两个蒸馏塔和一个加热炉的工业原油蒸馏系统中的应用进行了模拟。