Model Predictive Control of Wastewater Systems

  • Carlos Ocampo-Martinez

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Introduction

    1. Carlos Ocampo-Martinez
      Pages 1-11
  3. Background and Case Study Modelling

    1. Front Matter
      Pages 13-13
    2. Carlos Ocampo-Martinez
      Pages 15-40
  4. Model Predictive Control of Sewer Networks

    1. Front Matter
      Pages 59-59
    2. Carlos Ocampo-Martinez
      Pages 61-77
    3. Carlos Ocampo-Martinez
      Pages 79-103
    4. Carlos Ocampo-Martinez
      Pages 105-136
  5. Fault-tolerance Capabilities of Model Predictive Control

    1. Front Matter
      Pages 137-137
    2. Carlos Ocampo-Martinez
      Pages 139-166
  6. Concluding Remarks

    1. Front Matter
      Pages 193-193
    2. Carlos Ocampo-Martinez
      Pages 195-200
  7. Back Matter
    Pages 201-217

About this book

Introduction

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 algorithms they employ.

Keywords

Conplex Systems Control Control Applications Control Engineering Fault-tolerant Mechanisms MPC Model-based Control Multi-objective Control Real-time Control Sewage Systems Wastewater Sy actuator model predictive control modeling optimization

Authors and affiliations

  • Carlos Ocampo-Martinez
    • 1
  1. 1.Institut de Robòtica i Informàtica Industrial, Spanish National Research Council (CSIC)Technical University of Catalonia (UPC)BarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84996-353-4
  • Copyright Information Springer-Verlag London 2010
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84996-352-7
  • Online ISBN 978-1-84996-353-4
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • About this book