基于分散控制的四容水箱过程分布式估计
Distributed Estimation with Decentralized Control for Quadruple-Tank Process
AI总结：
针对四容水箱过程，本文提出统一建模、控制与估计框架，采用分散PI控制调节水位，结合局部Luenberger观测器与共识耦合机制实现分布式状态估计，仿真验证其在不同相位下的有效性。
摘要：
本文针对四容水箱过程提出了统一的建模、控制与估计框架，该过程是一个基准多变量系统，其行为根据阀门流量比可表现为最小相位或非最小相位。研究采用分散PI控制策略调节水位，同时利用局部Luenberger观测器和智能体间通信开发了分布式状态估计方案。每个观测器仅使用局部输出测量，并通过强连通通信图与相邻节点交换信息。为解决部分可观测性的局限，观测器设计融入了可观测性分解和基于共识的耦合机制，确保收敛至系统真实状态。仿真结果验证了所提框架的有效性，表明在最小相位和非最小相位配置下均实现了准确的状态重构与稳定的闭环性能，凸显了分散控制与分布式估计结合在复杂多变量系统可扩展网络化控制中的潜力。
英文摘要：
This paper presents a unified modeling, control, and estimation framework for the quadruple-tank process, a benchmark multivariable system that exhibits either minimum phase or nonminimum phase behavior depending on valve flow ratios. A decentralized PI control strategy is employed to regulate water levels, while a distributed state estimation scheme is developed using local Luenberger observers and inter-agent communication. Each observer uses only local output measurements and exchanges information with neighboring nodes over a strongly connected communication graph. To address the limitations of partial observability, the observer design incorporates an observability decomposition and consensus-based coupling that ensures convergence to the true system state. Simulation results validate the effectiveness of the proposed framework, demonstrating accurate state reconstruction and stable closed loop performance under both minimum-phase and nonminimum phase configurations. These results highlight the potential of combining decentralized control with distributed estimation for scalable, networked control of complex multivariable systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
