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Synchronization control scheme for multi-process systems based on model predictive control

机译：基于模型预测控制的多过程系统同步控制方案

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Multi-process system (MPS) is an important process system for modern industry. The parallel operating subsystems may have synchronization requirements. A generalized synchronization control scheme is thus developed in this paper based on the model predictive control framework by combining a generalized synchronization cost function and the predictive cost function. The resulted control algorithm indicates that the predictive control errors of each sub-process and the predictive synchronization errors between sub-processes are used together as feedback information in the control scheme to ensure the optimal control performances of each sub-processes as well as synchronization performance, which essentially leads to a multi-input and multi-output (MIMO) control for the MPS. With a proper selection of the synchronization error functions, ratio and distance synchronization controls are conducted with the numerical simulation on an MPS consists of three sub-processes. The results clearly prove the effectiveness, robustness and flexibility of the proposed synchronization control scheme.
机译：多过程系统（MPS）是现代行业的重要过程系统。并行操作子系统可能具有同步要求。因此，通过组合广义同步成本函数和预测成本函数，基于模型预测控制框架在本文中开发了广义同步控制方案。得到的控制算法表明，每个子进程的预测控制误差和子过程之间的预测同步误差作为控制方案中的反馈信息一起使用，以确保每个子进程的最佳控制性能以及同步性能，基本上导致MPS的多输入和多输出（MIMO）控制。 With a proper selection of the synchronization error functions, ratio and distance synchronization controls are conducted with the numerical simulation on an MPS consists of three sub-processes.结果清楚地证明了所提出的同步控制方案的有效性，稳健性和灵活性。

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