论文标题
使用动态约束拧紧级联系统的分层分散参考调查员
Hierarchical Decentralized Reference Governor using Dynamic Constraint Tightening for Constrained Cascade Systems
论文作者
论文摘要
本文提出了针对受约束级联系统的分层分散参考调查员。参考调速器（RG）方法是根据退缩的策略进行了重新校正的，以便以预先建立的预测范围为每个子系统获得局部退缩的视野优化。该算法保证，不仅可以恢复任何约束的标称总体闭环系统，而且在瞬态条件下也满足了状态和控制约束。同样，考虑到不可行的参考信号，任何子系统的输出在本地均属于最近的可行值。提出的动态约束策略使用了后退的视野来减少常规鲁棒的保守主义。此外，引入了用于计算收紧约束和输出可允许的集合的算法的分散实现，允许处理大型系统。此外，提出了一组动态约束，以保留分布式优化问题的递归可行性。还证明了所提出算法的可行性，稳定性，收敛性和鲁棒约束满意度。通过模拟由三个级联套装连续搅拌的储罐反应器组成的系统，可以验证所提出的方法。
This paper proposes a hierarchical decentralized reference governor for constrained cascade systems. The reference governor (RG) approach is reformulated in terms of receding horizon strategy such that a locally receding horizon optimization is obtained for each subsystem with a pre-established prediction horizon. The algorithm guarantees that not only the nominal overall closed-loop system without any constraint is recoverable but also the state and control constraints are satisfied in transient conditions. Also, considering unfeasible reference signals, the output of any subsystem goes locally to the nearest feasible value. The proposed dynamic constraint tightening strategy uses a receding horizon to reduce the conservatism of conventional robust RGs. Moreover, a decentralized implementation of the algorithms used to compute tightened constraints and output admissible sets is introduced that allow to deal with large scale systems. Furthermore, a set of dynamic constraints are presented to preserve recursive feasibility of distributed optimization problem. Feasibility, stability, convergence, and robust constraint satisfaction of the proposed algorithm are also demonstrated. The proposed approach is verified by simulating a system composed of three cascade jacketed continuous stirred tank reactors.
