ER15-JSI-02
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The main project objectives are: | The main project objectives are: | ||
* '''O1 ->''' Review possible approaches of complexity reduction for fast Model Predictive Control (MPC) suitable for Plasma Current and Shape Control (PSC) and possibly to Resistive Wall Modes (RWM) control | * '''O1 ->''' Review possible approaches of complexity reduction for fast Model Predictive Control (MPC) suitable for Plasma Current and Shape Control (PSC) and possibly to Resistive Wall Modes (RWM) control | ||
- | * '''O2 | + | * '''O2 ->''' Implement the most appropriate fast MPC method |
- | * '''O3 | + | * '''O3 ->''' Adapt plasma models for use in MPC and prepare a set of models in different operation points of an ITER scenario, in order to assess robustness |
- | * '''O4 | + | * '''O4 ->''' Develop a suitable state-estimation technique |
- | * '''O5 | + | * '''O5 ->''' Apply fast MPC to PSC control |
- | * '''O6 | + | * '''O6 ->''' Evaluate fast MPC performance and robustness to disturbances and variation of local dynamics in comparison to existing approaches |
- | * '''O7 | + | * '''O7 ->''' Evaluate the applicability of fast MPC to RWM control |
== DOCUMENTATION == | == DOCUMENTATION == | ||
Line 68: | Line 68: | ||
* [[Media:ERMeetingMar2015_AP.pdf | Design of a realistic feedback+feedforward control scheme able to manage the whole plasma pulse - A. Pironti (Mar 25th 2015)]] | * [[Media:ERMeetingMar2015_AP.pdf | Design of a realistic feedback+feedforward control scheme able to manage the whole plasma pulse - A. Pironti (Mar 25th 2015)]] | ||
* [[Media:ARIOLA_KOM_ER.pdf | Simultaneous control of modes with multiple toroidal periodicity in tokamak plasmas - M. Ariola (Mar 25th 2015)]] | * [[Media:ARIOLA_KOM_ER.pdf | Simultaneous control of modes with multiple toroidal periodicity in tokamak plasmas - M. Ariola (Mar 25th 2015)]] | ||
- | * [[ | + | * [[Media:De_Tommasi_-_Plasma_Models_for_the_design_of_the_ITER_PCS.pdf | Plasma Models for the design of the ITER PCS - G. De Tommasi (Mar 26th 2016)]] |
* [[Media:ERMeetingMar2015_AP_1.pdf | ITER magnetic axisymmetric control system - A. Pironti (Mar 26th 2016)]] | * [[Media:ERMeetingMar2015_AP_1.pdf | ITER magnetic axisymmetric control system - A. Pironti (Mar 26th 2016)]] | ||
* [[Media:ERMeetingMar2015_AP_2.pdf | ITER reference scenarios and disturbances for performance assessment - A. Pironti (Mar 26th 2016)]] | * [[Media:ERMeetingMar2015_AP_2.pdf | ITER reference scenarios and disturbances for performance assessment - A. Pironti (Mar 26th 2016)]] | ||
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* [[Media:FMPCFMPC_D1_v3.pdf | D1: A set of reduced-order models and a state-estimation scheme for ITER plasma shape and current control ]] | * [[Media:FMPCFMPC_D1_v3.pdf | D1: A set of reduced-order models and a state-estimation scheme for ITER plasma shape and current control ]] | ||
* [[Media:FMPCFMPC_D2_v1.1.pdf | D2: Conceptual design of fast MPC for ITER PCSC ]] | * [[Media:FMPCFMPC_D2_v1.1.pdf | D2: Conceptual design of fast MPC for ITER PCSC ]] | ||
+ | * [[Media:FMPCFMPC_D3_v1.0.pdf | D3: Fast MPC implementation ]] | ||
|} | |} | ||
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</span> | </span> | ||
<span> | <span> |
Latest revision as of 20:00, 11 January 2017
Fast Model Predictive Control for Magnetic Plasma Control
Principal Investigator:
Samo Gerksic (IJS)
Contributors:
Marco Ariola (CREATE)
Alfredo Pironti (CREATE)
Boštjan Pregelj (IJS)
Andrej Debenjak (IJS)
Participating institutions:
Institut "Jožef Stefan", Ljubljana, Slovenia
Consorzio CREATE, Naples, Italy
COSYLAB, Ljubljana, Slovenia
Page last edited on 11-1-2017
PROJECT OBJECTIVES
The main project objectives are:
- O1 -> Review possible approaches of complexity reduction for fast Model Predictive Control (MPC) suitable for Plasma Current and Shape Control (PSC) and possibly to Resistive Wall Modes (RWM) control
- O2 -> Implement the most appropriate fast MPC method
- O3 -> Adapt plasma models for use in MPC and prepare a set of models in different operation points of an ITER scenario, in order to assess robustness
- O4 -> Develop a suitable state-estimation technique
- O5 -> Apply fast MPC to PSC control
- O6 -> Evaluate fast MPC performance and robustness to disturbances and variation of local dynamics in comparison to existing approaches
- O7 -> Evaluate the applicability of fast MPC to RWM control
DOCUMENTATION