Output consensus for interconnected heterogeneous systems via a combined model predictive control and integral sliding mode control with application to CSTRs

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2024-09-20 DOI:10.1016/j.conengprac.2024.106100

Ye Zhang , Fei Li , Shouli Gao , Dongya Zhao , Xing-Gang Yan , Sarah K. Spurgeon

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引用次数: 0

Abstract

Interconnected structures are commonly found in process networks. In this paper, an output consensus framework is proposed for a class of continuous interconnected linear heterogeneous systems subject to disturbances and constraints. The distributed output consensus control strategy is developed by combining integral sliding mode control with model predictive control. The integral sliding mode control is designed to eliminate a class of matched disturbances. The model predictive control plays two main roles: On the one hand, it drives the system states to track the steady state values so as to achieve output consensus; on the other hand, it helps to deal with interconnections and constraints existing in systems. In the meantime, a distributed iterative algorithm is designed to acquire the system steady states. A simulation example and an experiment relating to control of systems of interconnected CSTRs are presented to validate the effectiveness and superiority of the proposed method.

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通过模型预测控制和积分滑模控制相结合的方法实现互联异构系统的输出共识，并将其应用于中央反应器

流程网络中通常存在互连结构。本文针对一类受干扰和约束的连续互联线性异构系统提出了一个输出共识框架。分布式输出共识控制策略是通过将积分滑模控制与模型预测控制相结合而开发的。积分滑模控制旨在消除一类匹配干扰。模型预测控制起两个主要作用：一方面，它驱动系统状态跟踪稳态值，以实现输出共识；另一方面，它有助于处理系统中存在的互连和约束。同时，设计了一种分布式迭代算法来获取系统稳态。为了验证所提方法的有效性和优越性，介绍了一个仿真实例和一个与相互连接的中央反应器系统控制有关的实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.