Segovia Pablo, Puig Vicenç, Duviella Eric
Department of Maritime and Transport Technology, Delft University of Technology, Delft, The Netherlands.
Research Center for Supervision, Safety and Automatic Control (CS2AC), Universitat Politècnica de Catalunya (UPC), Rambla Sant Nebridi 22, 08222 Terrassa, Spain; Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028 Barcelona, Spain.
ISA Trans. 2022 Sep;128(Pt B):402-413. doi: 10.1016/j.isatra.2021.10.036. Epub 2021 Nov 15.
This work is concerned with the design of a two-step distributed state estimation scheme for large-scale systems in the presence of unknown-but-bounded disturbances and noise. The set-membership approach is employed to construct a compact set containing the states consistent with system measurements and bounded noise and disturbances. The tightened feasible region is then provided to a moving horizon estimator that determines the optimal state estimates. Partitioning of the overall problem and coordination of the resulting subproblems are achieved using decomposition of the optimality conditions and community detection. The proposed strategy is tested on a case study based on a reactor-separator system widely used in the literature. Its performance is compared to those of centralized and distributed (without set-membership) implementations, allowing to highlight its effectiveness.
这项工作关注的是在存在未知但有界干扰和噪声的情况下，为大规模系统设计一种两步分布式状态估计方案。采用集合隶属方法来构建一个紧凑集合，该集合包含与系统测量以及有界噪声和干扰相一致的状态。然后将收紧的可行区域提供给移动时域估计器，该估计器确定最优状态估计。通过最优性条件的分解和社区检测来实现整体问题的划分以及由此产生的子问题的协调。所提出的策略在一个基于文献中广泛使用的反应器 - 分离器系统的案例研究中进行了测试。将其性能与集中式和分布式（无集合隶属）实现的性能进行了比较，从而突出其有效性。
