A thermo-magneto-hydrodynamics port-Hamiltonian model is derived for the plasmas in tokamaks. Electromagnetic field and material domain balance equations are expressed in covariant forms, together with the magneto-hyd...
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A thermo-magneto-hydrodynamics port-Hamiltonian model is derived for the plasmas in tokamaks. Electromagnetic field and material domain balance equations are expressed in covariant forms, together with the magneto-hydrodynamics interconnection structure connecting them together. The balance equations for the entropy, mass and momentum, as well as closure equations in the material domain, are derived from the Boltzmann equation (kinetic theory). The Gibbs-Duhem equation is used to compute the irreversible entropy source term and to define the interdomain R-field of the model. All derived interdomain couplings in the material domain are represented using Dirac and Stokes-Dirac structures and the resistivity R-field structure. The complete model is summarized in a Bond Graph.
Throughout the last decades, control systems theory has thrived, promoting new areas of development, especially for chemical and biological process engineering. Production processes are becoming more and more complex ...
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Throughout the last decades, control systems theory has thrived, promoting new areas of development, especially for chemical and biological process engineering. Production processes are becoming more and more complex and researchers, academics and industry professionals dedicate more time in order to keep up-to-date with the increasing complex- ity and nonlinearity. Developing control architectures and incorporating novel control techniques as a way to overcome optimization problems is the main focus for all people involved. Nonlinear Model Predictive Control (NMPC) has been one of the main responses from academia for the exponential growth of process complexity and fast growing scale. Prediction algorithms are the response to manage closed-loop stability and optimize results. Adaptation mechanisms are nowadays seen as a natural extension of prediction methodologies in order to tackle uncertainty in distributed parameter systems (DPS), governed by partial differential equations (PDE). parameters observers and Lyapunov adaptation laws are also tools for the systems in study. Stability and stabilization conditions, being implicitly or explicitly incorporated in the NMPC formulation, by means of pointwise min-norm techniques, are also being used and combined as a way to improve control performance, robustness and reduce computational effort or maintain it low, without degrading control action. With the above assumptions, centralized (or single agent) or decentralized and dis- tributed Model Predictive Control (MPC) architectures (also called multi-agent) have been applied to a series of nonlinear distributed parameters systems with transport phenomena, such as bioreactors, water delivery canals and heat exchangers to show the importance and success of these control techniques.
An IDA-PBC-like control synthesis for infinite dimensional port Hamiltonian systems is investigated. As for the finite dimensional case, a feedback control transforms the original model into a closed loop target Hamil...
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An IDA-PBC-like control synthesis for infinite dimensional port Hamiltonian systems is investigated. As for the finite dimensional case, a feedback control transforms the original model into a closed loop target Hamiltonian model. Both distributed control and boundary control are used. The finite rank distributed control is determined to solve an average IDA-PBC matching equation. A backstepping boundary control is used to stabilize the matching error. The control model chosen to illustrate the approach is the so-called resistive diffusion equation for the radial diffusion of the poloidal magnetic flux. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
The aim of this paper is to write two simple fluid-structure interaction coupled systems as wellposed port Hamiltonian systems. Moreover, we investigate the stabilization of the system Burgers/piston Otanks to a very ...
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The aim of this paper is to write two simple fluid-structure interaction coupled systems as wellposed port Hamiltonian systems. Moreover, we investigate the stabilization of the system Burgers/piston Otanks to a very simple feedback law. (C) 2015, ILAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
The aim of this paper is to write two simple fluid-structure interaction coupled systems as wellposed port-Hamiltonian systems. Moreover, we investigate the stabilization of the system Burgers/piston thanks to a very ...
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The aim of this paper is to write two simple fluid-structure interaction coupled systems as wellposed port-Hamiltonian systems. Moreover, we investigate the stabilization of the system Burgers/piston thanks to a very simple feedback law.
The IDA-PBC control of plasma dynamics in a tokamak is investigated. It is based on a model made of the two coupled PDEs of resistive diffusion for the magnetic poloidal flux and of radial thermal diffusion. The used ...
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The IDA-PBC control of plasma dynamics in a tokamak is investigated. It is based on a model made of the two coupled PDEs of resistive diffusion for the magnetic poloidal flux and of radial thermal diffusion. The used ...
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The IDA-PBC control of plasma dynamics in a tokamak is investigated. It is based on a model made of the two coupled PDEs of resistive diffusion for the magnetic poloidal flux and of radial thermal diffusion. The used Thermal-Magneto-Hydro-Dynamics (TMHD) couplings are the Lorentz forces (with non-uniform resistivity) and the bootstrap current. The control model is obtained with the coupling of the two finite dimensional approximations obtained from the two diffusion models, using two geometric reduction schemes. A feedforward control is used to ensure the compatibility with the actuator physical ability. Then, an IDA-PBC (Interconnection and Damping Assignment - Passivity Based Control) controller is proposed for the coupled model to improve the system stabilization and convergence speed. The obtained numerical results are validated against the simulation data obtained from the RAPTOR (RApid Plasma Transport simulatOR) code for the TCV (Tokamak of Configuration Variable at CRPP, EPFL, Lausanne, Switzerland) tokamak real-time control system.
We solve the problem of stabilization of a class of linear first-order hyperbolic systems featuring n rightward convecting transport PDEs and one leftward convecting transport PDE. We design a controller, which requir...
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We solve the problem of stabilization of a class of linear first-order hyperbolic systems featuring n rightward convecting transport PDEs and one leftward convecting transport PDE. We design a controller, which requires a single control input applied on the leftward convecting PDE's right boundary, and an observer, which employs a single sensor on the same PDE's left boundary. We prove exponential stability of the origin of the resulting plant-observer-controller system in the spatial L-2-sense.
we define a family of geometric discretization methods for the reduction of a 1D distributed parameters systems of conservation laws and apply these methods to the reduction of plasma control model written in Port-Con...
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we define a family of geometric discretization methods for the reduction of a 1D distributed parameters systems of conservation laws and apply these methods to the reduction of plasma control model written in Port-Controlled Hamiltonian (PCH) form. In these discrete schemes, variables are projected into appropriate bases in order to perform exact spatial differentiation. We show that some spectral and energetical properties are therefore preserved. A geometric (symplectic) collocation scheme using Lagrange polynomials is investigated. Numerical results show oscillations in the transient response in case of non homogeneous boundary conditions or sharp distributed control. A second symplectic spectral scheme using Bessel conjugated bases is then derived which allows a more accurate approximation of eigenfunctions and reduces the unwanted numerical oscillations. Finally, the proposed numerical integration of the control model is validated against experimental data from the tokamak Tore Supra.
A port-Hamiltonian model is derived for the thermo-magneto-hydrodynamics (TMHD) of plasma in tokamaks. This paper focuses on the balance and closure equations in the material domain. First a kinetic theory point of vi...
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A port-Hamiltonian model is derived for the thermo-magneto-hydrodynamics (TMHD) of plasma in tokamaks. This paper focuses on the balance and closure equations in the material domain. First a kinetic theory point of view is adopted and transport equations are derived from the Boltzmann equation. Then material derivatives are introduced to derive macroscopic balance equations of the TMHD fluid model from these kinetic transport equations. Finally, the Gibbs-Duhem equation is used to compute the irreversible entropy source term and to define the interdomain ℛ - field of the model.
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