Thermal and Energy Management of High-Performance Multicores: Distributed and Self-Calibrating Model-Predictive Controller

2013 ◽  
Vol 24 (1) ◽  
pp. 170-183 ◽  
Author(s):  
Andrea Bartolini ◽  
Matteo Cacciari ◽  
Andrea Tilli ◽  
Luca Benini
Keyword(s):  
Energy Management ◽  
High Performance ◽  
Model Predictive Controller ◽  
Predictive Controller

scholarly journals Extended Model Predictive Controller to Develop Energy Management Systems in Renewable Source-Based Smart Microgrids with Hydrogen as Backup. Theoretical Foundation and Case Study

2020 ◽  
Vol 12 (21) ◽  
pp. 8969
Author(s):  
Francisco J. Vivas Fernández ◽  
Francisca Segura Manzano ◽  
José Manuel Andújar Márquez ◽  
Antonio J. Calderón Godoy
Keyword(s):  
Energy Distribution ◽  
Energy Management ◽  
Optimization Problems ◽  
Extended Model ◽  
Operating Voltage ◽  
Model Predictive Controller ◽  
Renewable Source ◽  
Multi Objective ◽  
Predictive Controller

This article presents a methodological foundation to design and experimentally test a Model Predictive Controller (MPC) to be applied in renewable source-based microgrids with hydrogen as backup. The Model Predictive Controller has been developed with the aim to guarantee the best energy distribution while the microgrid operation is optimized considering both technical and economic parameters. As a differentiating element, this proposal provides a solution to the problem of energy management in real systems, addressing technological challenges such as charge management in topologies with direct battery connection, or loss of performance associated with equipment degradation or the required dynamics in the operation of hydrogen systems. That is, the proposed Model Predictive Controller achieves the optimization of microgrid operation both in the short and in the long-term basis. For this purpose, a generalized multi-objective function has been defined that considers the energy demand, operating costs, system performance as well as the suffered and accumulated degradation by microgrid elements throughout their lifespan. The generality in the definition of the model and cost function, allows multi-objective optimization problems to be raised depending on the application, topology or design criteria to be considered. For this purpose, a heuristic methodology based on artificial intelligence techniques is presented for the tuning of the controller parameters. The Model Predictive Controller has been validated by simulation and experimental tests in a case study, where the performance of the microgrid under energy excess and deficit situations has been tested, considering the constrains defined by the degradation of the systems that make up the microgrid. The designed controller always made it possible to guarantee both the power balance and the optimal energy distribution between systems according to the predefined priority and accumulated degradation, while guaranteeing the maximum operating voltage of the system with a margin of error less than 1%. The simulation and experimental results for the case study showed the validity of the controller and the design methodology used.

A high performance model predictive controller:

2001 ◽  
Vol 9 (8) ◽  
pp. 829-835 ◽  
Author(s):  
Wim Van Brempt ◽  
Ton Backx ◽  
Jobert Ludlage ◽  
Peter Van Overschee ◽  
Bart De Moor ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Model ◽  
Model Predictive Controller ◽  
Predictive Controller

scholarly journals The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 884 ◽  
Author(s):  
César Hernández-Hernández ◽  
Francisco Rodríguez ◽  
José Moreno ◽  
Paulo da Costa Mendes ◽  
Julio Normey-Rico ◽  
...  
Keyword(s):  
Energy Management ◽  
Prediction Methods ◽  
Comparison Study ◽  
Short Term ◽  
Model Predictive Controller ◽  
Term Prediction ◽  
Predictive Controller ◽  
Short Term Prediction ◽  
Microgrid Energy Management

scholarly journals Tracking Model Predictive Control for Docking Maneuvers of a CubeSat with a Big Spacecraft

Aerospace ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 197
Author(s):  
Fabrizio Stesina
Keyword(s):  
Predictive Control ◽  
High Performance ◽  
Complex Model ◽  
Model Predictive Controller ◽  
Environmental Disturbances ◽  
Small Satellites ◽  
Safety Constraints ◽  
Predictive Controller ◽  
Tracking Model ◽  
External Inspection

The release and retrieval of a CubeSat from a big spacecraft is useful for the external inspection and monitoring of the big spacecraft. However, docking maneuvers during the retrieval are challenging since safety constraints and high performance must be achieved, considering the small dimensions and the actual small satellites technology. The trajectory control is crucial to have a soft, accurate, quick, and propellant saving docking. The present paper deals with the design of a tracking model predictive controller (TMPC) tuned to achieve the stringent docking requirements for the retrieval of a CubeSat within the cargo bay of a large cooperative vehicle. The performance of the TMPC is verified using a complex model that includes non-linearities, uncertainties of the CubeSat parameters, and environmental disturbances. Moreover, 300 Monte Carlo runs demonstrate the robustness of the TMPC solution.

scholarly journals A High Performance Model Predictive Controller: Application on a Polyethylene Gas Phase Reactor

2000 ◽  
Vol 33 (10) ◽  
pp. 509-514
Author(s):  
Wim Van Brempt ◽  
Ton Backx ◽  
Jobert Ludlage ◽  
Peter Van Overschee ◽  
Bart De Moor ◽  
...  
Keyword(s):  
Gas Phase ◽  
High Performance ◽  
Performance Model ◽  
Model Predictive Controller ◽  
Predictive Controller
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