Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part II – Control algorithm

2012 ◽  
Vol 51 ◽  
pp. 388-394 ◽  
Author(s):  
Ion Hazyuk ◽  
Christian Ghiaus ◽  
David Penhouet
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Optimal Temperature ◽  
Control Part

Model Predictive Control (MPC) for Building Optimal Temperature Control

2018 ◽  
Author(s):  
Jarrou Abderrahmane ◽  
Domenic Sauter ◽  
Karim Alami ◽  
Chouri Brahim ◽  
Ailane Abdellah
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Temperature Control ◽  
Optimal Temperature

Model Predictive Control (MPC) for Building Optimal Temperature Control

2018 ◽  
Author(s):  
Jarrou Abderrahmane ◽  
Domenic Sauter ◽  
Karim Alami ◽  
Chouri Brahim ◽  
Ailane Abdellah
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Temperature Control ◽  
Optimal Temperature

scholarly journals Reference Tracking using a Non-Cooperative Distributed Model Predictive Control Algorithm

2016 ◽  
Vol 49 (7) ◽  
pp. 1079-1084 ◽  
Author(s):  
Anca Maxim ◽  
Clara M. Ionescu ◽  
Constantin F. Caruntu ◽  
Corneliu Lazar ◽  
Robin De Keyser
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Algorithm ◽  
Distributed Model ◽  
Reference Tracking ◽  
Distributed Model Predictive Control ◽  
Model Predictive Control Algorithm

An Economic Model Predictive Control Approach for Wind Power Smoothing and Tower Load Mitigation

2018 ◽  
Author(s):  
Mohamed M. Alhneaish ◽  
Mohamed L. Shaltout ◽  
Sayed M. Metwalli
Keyword(s):  
Optimal Control ◽  
Optimal Control Problem ◽  
Model Predictive Control ◽  
Wind Power ◽  
Predictive Control ◽  
Economic Model ◽  
Control Algorithm ◽  
Fatigue Load ◽  
Economic Model Predictive Control ◽  
Control Framework

An economic model predictive control framework is presented in this study for an integrated wind turbine and flywheel energy storage system. The control objective is to smooth wind power output and mitigate tower fatigue load. The optimal control problem within the model predictive control framework has been formulated as a convex optimal control problem with linear dynamics and convex constraints that can be solved globally. The performance of the proposed control algorithm is compared to that of a standard wind turbine controller. The effect of the proposed control actions on the fatigue loads acting on the tower and blades is studied. The simulation results, with various wind scenarios, showed the ability of the proposed control algorithm to achieve the aforementioned objectives in terms of smoothing output power and mitigating tower fatigue load at the cost of a minimal reduction of the wind energy harvested.

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