Model predictive control of complex systems including fault tolerance capabilities: application to sewer networks

Tesis doctoral de Carlos Augusto Ocampo Martinez

Real time control (rtc) of sewer networks plays a fundamental role in the management of hydrological systems, both in the urban water cycle, as well as in the natural water cycle. An adequate design of control systems for sewer networks can prevent the negative impact on the environment that combined sewer overflow (cso) as well as preventing flooding within city limits when extreme weather conditions occur. However, sewer networks are large scale systems with many variables, complex dynamics and strong nonlinear behaviour. Any control strategy applied should be capable of handling these challenging requirements. Within the field of rtc of sewer networks for global network control, the model predictive control (mpc) strategy stands out due to its ability to handle large scale, nonlinear and multivariable systems. Furthermore, this strategy allows performance optimization, taking into account several control objectives simultaneously. this thesis is devoted to the design of mpc controllers for sewer networks, as well as the complementary modelling methodologies. Furthermore, scenarios where actuator faults occur are specially considered and strategies to maintain performance or at least minimizing its degradation in presence of faults are proposed. In the first part of this thesis, the basic concepts are introduced: sewer networks, mpc and fault tolerant control. In addition, the modelling methodologies used to describe such systems are presented. Finally the case study of this thesis is described: the sewer network of the city of barcelona (spain). the second part of this thesis is centered on the design of mpc controllers for the proposed case study. Two types of models are considered: (i) a linear model whose corresponding mpc strategy is known for its advantages such as convexity of the optimization problem and existing proofs of stability, and (ii) a hybrid model which allows the inclusion of state dependent hybrid dynamics such as weirs. In the latter c

 

Datos académicos de la tesis doctoral «Model predictive control of complex systems including fault tolerance capabilities: application to sewer networks«

  • Título de la tesis:  Model predictive control of complex systems including fault tolerance capabilities: application to sewer networks
  • Autor:  Carlos Augusto Ocampo Martinez
  • Universidad:  Politécnica de catalunya
  • Fecha de lectura de la tesis:  27/04/2007

 

Dirección y tribunal

  • Director de la tesis
    • VicenÁ§ Puig Cayuela
  • Tribunal
    • Presidente del tribunal: jan Maciejowski
    • phillippe Charbonnaud (vocal)
    • Alberto Bemporad (vocal)
    • ari Ingimundarson (vocal)

 

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