Stability-guaranteed data-driven nonlinear predictive control of water distribution systems

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

Control Engineering Practice Pub Date : 2025-01-23 DOI:10.1016/j.conengprac.2025.106243

Saskia A. Putri, Faegheh K. Moazeni

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引用次数: 0

Abstract

Stability in the operation of water distribution systems (WDSs) is paramount to maintaining efficient and reliable water delivery. Nonlinear model predictive control (NMPC) emerged as a suitable control strategy due to WDSs’ inherent nonlinearity and cross-coupling dynamics. However, classical NMPC is formulated under a finite horizon and does not guarantee closed-loop stability. It also relies heavily on intricate model-based dynamics, a cumbersome and time-consuming process for large-scale WDSs. This paper proposes a comprehensive control strategy that employs a data-enabled model identification technique, replacing physics-based models and ensuring stability and recursive feasibility via quasi-infinite horizon NMPC. The main objective of this work is to satisfy the water demand at every time step while guaranteeing a stable pressure head and energy-efficient pump operation in the WDS. A complete stability and feasibility analysis of the control strategy is also provided. Extensive simulations validate the proposed method demonstrating (1) data-driven model accuracy with an unseen and noisy dataset exhibiting 0.01% error and (2) optimal WDS operation under nominal and robust conditions, ensuring demand compliance, cost-savings by 8% ($18k annually), and pressure head stability within 5% of the steady-state value.

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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.