Plug-and-play control of interconnected systems

Sven Bodenburg

Diese Publikation zitieren

Sven Bodenburg, Plug-and-play control of interconnected systems (2017), Logos Verlag, Berlin, ISBN: 9783832591700

34
Accesses

Beschreibung / Abstract

In the networked control of interconnected systems, the communication network is primarily used for the exchange of measurements amongst the control stations. Plug-and-play control extends the usage of this network towards the exchange of models with the aim to automatically design control stations at runtime. Therefore, every subsystem is equipped with a design agent that initially knows only the model of its subsystem. To design a control station by a design agent, first, a suitable model of the subsystem that interacts with other subsystems has to be set up. Second, local design conditions have to be found that guarantee the adherence of the global control aim. If the designed control station is finally plugged into the control equipment, the overall closed-loop system plays as desired.

The focus of this thesis is to enable the design agent to accomplish the controller design. Therefore, three approaches are proposed which focus on the accuracy of the model that is used for the design with respect to the achievable overall closed-loop performance. The main result is a novel concept for the self-organised controller design by means of design agents. This concept is applied to achieve fault tolerance and to integrate new subsystems. The proposed methods are tested and evaluated through simulations and experiments on a thermofluid process and a multizone furnace.

Inhaltsverzeichnis

  • BEGINN
  • 1 Introduction to plug-and-play control
  • 1.1 Plug-and-play control
  • 1.2 Motivation and application scenarios
  • 1.3 Problem formulation and fundamental questions
  • 1.4 Literature on plug-and-play control
  • 1.5 Contributions of this thesis
  • 1.6 Structure of this thesis
  • 2 Preliminaries
  • 2.1 Notation and definitions
  • 2.2 Models
  • 2.3 Robust control techniques
  • 2.4 Fault-tolerant control methods
  • 2.5 Demonstration examples
  • 3 Handling of model information
  • 3.1 Connection of models
  • 3.2 Models of plug-and-play control
  • 3.3 Design agents
  • 3.4 Interconnection graph and communication graph
  • 4 Plug-and-play control using the model of the physical interaction
  • 4.1 Problem formulation
  • 4.2 A distributed algorithm to model the physical interaction
  • 4.3 Analysis of the modelling algorithm
  • 4.4 Application scenario: Fault-tolerant control
  • 5 Plug-and-play control using the local model based on restricted operating sets
  • 5.1 Problem formulation
  • 5.2 Conditions to enable the design with the local model
  • 5.3 Local design conditions
  • 5.4 Controller design based on robustly positively invariant operating sets
  • 5.5 Application scenario: Fault-tolerant control
  • 6 Plug-and-play control using the local model based on limited amplifications
  • 6.1 Problem formulation
  • 6.2 Conditions to enable the design with the local model
  • 6.3 Local design conditions
  • 6.4 H1-controller design
  • 6.5 Application scenario: Integration of new subsystems
  • 7 Plug-and-play control using an approximate model of the physical interaction
  • 7.1 Problem formulation
  • 7.2 A local algorithm to approximate the dynamics of the physical interaction
  • 7.3 Cooperative design conditions
  • 7.4 Application scenario: Fault-tolerant control
  • 8 Plug-and-play diagnosis using an approximate model of the physical interaction
  • 8.1 Problem formulation
  • 8.2 Models of plug-and-play diagnosis
  • 8.3 Design of the residual evaluation
  • 8.4 Design of the residual generation
  • 8.5 Plug-and-play diagnosis algorithm
  • 8.6 Example: Multizone furnace
  • 9 Conclusion
  • 9.1 Summary
  • 9.2 Outlook

Ähnliche Titel

    Mehr von diesem Autor