The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The water and wastewater industry has undergone many changes in recent years. Of particular importance has been a renewed emphasis on improving resource management with tighter regulatory controls setting new targets on pricing, industry efficiency and loss reduction for both water and wastewater with more stringent environmental discharge conditions for wastewater. Meantime, the demand for water and wastewater services grows as the population increases and wishes for improved living conditions involving, among other items, domestic appliances that use water. Consequently, the installed infrastructure of the industry has to be continuously upgraded and extended, and employed more effectively to accommodate the new demands, both in throughput and in meeting the new regulatory conditions. Investment in fixed infrastructure is capital-intensive and slow to come on-stream. One outcome of these changes and demands is that the industry is examining the potential benefits of, and in many cases using, more advanced control systems.

Introduces readers to the implementation of a powerful and increasingly popular control method in a group of applications of vital importance Includes supplementary material: sn.pub/extras

Autorentext

Doctor Juan Martinez-Piazuelo has made notable contributions to the research and development of optimization-based control strategies for large-scale complex systems using game-theoretical approaches. His expertise spans evolutionary game theory, generalized Nash equilibrium problems, and distributed optimization, all focused on large-scale, non-cooperative multi-agent systems with real-world applications. His research has been widely published in high-impact scientific journals and presented at prestigious international conferences. Professor Carlos Ocampo-Martinez has been deeply engaged in research and development in the management and control of large-scale complex systems, particularly in the domains of water and energy. His work spans evolutionary game theory, model predictive control, and distributed optimization techniques for managing complex networks. With a strong focus on real-world applications, he has published over a hundred of high-impact journal articles, covering topics such as decentralized control for urban water and energy systems, predictive control of complex networks, and the management of clean energy production. Additionally, he has authored and edited several influential books with Springer, focusing on advanced control strategies for large-scale systems. Professor Nicanor Quijano is an expert in the modeling and control of distributed network optimization systems, particularly those that are utilized in the fields of agriculture, energy, and urban drainage systems. His research has mostly concentrated on topics such as real-time management of urban drainage and irrigation systems, dynamic population games for optimal dispatch in hierarchical microgrid control, and the dispatch of distributed generators employing population dynamics. His knowledge in these areas provides relevant insights into the issues and solutions connected with integrating energy vectors as well as the water-energy-food nexus, which is paramount in this sort of research problem. His work has been published in a number of peer-reviewed journals.

Klappentext
Sewer networks are large-scale systems with many variables, complex dynamics and strongly nonlinear behaviour. Their control plays a fundamental role in the management of hydrological systems related to the natural water cycle, potentially avoiding flooding and sewer overflow in extreme weather. An adequate control scheme must deal with the complicated nature of sewer networks.Model Predictive Control of Wastewater Systems shows how sewage systems can be modelled and controlled within the framework of model predictive control (MPC). Several MPC-based strategies are proposed, accounting for the inherently complex dynamics and the multi-objective nature of the control required. The effect of system disturbance, represented by data from real rain episodes, on the performance of the control loop to which these strategies give rise is also accommodated. Complementary to these considerations is the incorporation of the closed-loop system within a fault-tolerant architecture and the study of faults in system actuators. Actuator faults are represented using hybrid modelling techniques, avoiding the loss of convexity of the related optimisation problem when the linear case is considered. The methods and control designs described in this book can easily be extrapolated to other complex systems of similar nature such as drinking-water networks and irrigation canals. A MATLAB® toolbox, created by the author and available for download from www.springer.com/ISBN will assist readers in implementing the MPC methods described within a sewer network.Model Predictive Control of Wastewater Systems will be of interest to academic researchers working with large-scale and complex systems and studying the applications of model-predictive, hybrid and fault-tolerant control. Control engineers employed in industries associated with water management will find this book a most useful resource for suggesting improvements in the control algorithmsthey employ.

Inhalt
Background and Case Study Modelling.- Background.- Principles of the Mathematical Modelling of Sewer Networks.- Model Predictive Control of Sewer Networks.- Formulating the Model Predictive Control Problem.- Predictive Control Problem Formulation and Hybrid Systems.- Suboptimal Hybrid Model Predictive Control.- Fault-tolerance Capabilities of Model Predictive Control.- Model Predictive Control and Fault Tolerance.- Fault-tolerance Evaluation of Actuator Fault Configurations.- Concluding Remarks.- Concluding Remarks.