Automated Two-Degree-of-Freedom Model Predictive Control Tuning

2015 ◽  
Vol 54 (43) ◽  
pp. 10811-10824 ◽  
Author(s):  
Ning He ◽  
Dawei Shi ◽  
Jiadong Wang ◽  
Michael Forbes ◽  
Johan Backström ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Degree Of Freedom ◽  
Two Degree Of Freedom

Model Predictive Control of 2-Degree of Freedom Robotic Manipulator with Backlash

2020 ◽  
Author(s):  
Abdur Rauf ◽  
Fahad Mumtaz Malik ◽  
Hameed Ullah ◽  
Musayyab Ali
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Robotic Manipulator ◽  
Degree Of Freedom

A robustification of the two degree-of-freedom controller based upon multivariable generalized predictive control law and robust H∞ control for a doubly-fed induction generator

2016 ◽  
Vol 40 (3) ◽  
pp. 1005-1017 ◽  
Author(s):  
Mohammed Aidoud ◽  
Moussa Sedraoui ◽  
Abderrazek Lachouri ◽  
Abdelhalim Boualleg
Keyword(s):  
Wind Turbine ◽  
Predictive Control ◽  
Degree Of Freedom ◽  
Induction Generator ◽  
Generalized Predictive Control ◽  
Doubly Fed Induction Generator ◽  
Wind Turbine System ◽  
Youla Parameterization ◽  
Doubly Fed ◽  
Two Degree Of Freedom

A robustification method of primary two degree-of-freedom (2-DOF) controllers is proposed in this paper to control the wind turbine system equipped with a doubly-fed induction generator DFIG. The proposed robustification method should follow the following three step-procedures. First, the primary 2-DOF controller is designed through the initial form of the multivariable generalized predictive control MGPC law to ensure a good tracking dynamic of reference trajectories. Second, the robust [Formula: see text] controller is independently designed for the previous system to ensure good robustness properties of the closed-loop system against model uncertainties, neglecting dynamics and sensor noises. Finally, both above mentioned controllers are combined to design the robustified 2-DOF-MGPC controller using Youla parameterization method. Therefore, the obtained controller conserves the same good tracking dynamic that is provided by the primary 2-DOF-MGPC controller. It ensures the same good robustness properties which are produced by the robust [Formula: see text] controller. A wind turbine system equipped with a DFIG is controlled by the robustified 2-DOF-MGPC controller. Its dynamic behaviour is modelled by an unstructured-output multiplicative uncertainty plant. The controller performances are valid by comparison with those given through both controllers, which are primary 2-DOF-MGPC and robust [Formula: see text] controllers in time and frequency domains.

Single Degree of Freedom Model Predictive Control with Variable Horizon

2020 ◽  
Author(s):  
Artemi Makarow ◽  
Christoph Rosmann ◽  
Torsten Bertram
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Degree Of Freedom ◽  
Single Degree Of Freedom ◽  
Single Degree

Improving the Tracking of Generalized Predictive Control Controllers

1996 ◽  
Vol 210 (3) ◽  
pp. 169-182 ◽  
Author(s):  
J A Rossiter ◽  
B G Grinnell
Keyword(s):  
Frequency Domain ◽  
Predictive Control ◽  
Time Domain ◽  
Degree Of Freedom ◽  
Generalized Predictive Control ◽  
Control Law ◽  
Set Point ◽  
The Poor ◽  
Fixed Order ◽  
Two Degree Of Freedom

One of the advantages of predictive control is its ability to take optimal account of information about future set point changes in the specification of the control law. However, the optimum GPC (generalized predictive control) prefilter that uses this information can lead to a deterioration rather than an improvement in the accuracy of tracking. Some simple modifications to GPC to overcome this problem are discussed. It will then be shown how some simple algorithms can be used to design an optimal prefilter that does not have any of the poor effects arising from the standard choice and hence always improves the performance. The basis of the technique is analogous to the two-degree-of-freedom designs common in the literature on H∞. However, here the emphasis is on fixed-order prefilters designed from a time domain, not a frequency domain, objective.

Application of Two Degree-of-Freedom Generalized Predictive Control to Temperature Control Experiment of an Aluminum Plate

2012 ◽  
Vol 132 (6) ◽  
pp. 879-885 ◽  
Author(s):  
Akira Yanou ◽  
Satoshi Okazaki ◽  
Junki Nishizaki ◽  
Shiro Masuda ◽  
Mamoru Minami ◽  
...  
Keyword(s):  
Predictive Control ◽  
Temperature Control ◽  
Control Experiment ◽  
Degree Of Freedom ◽  
Aluminum Plate ◽  
Generalized Predictive Control ◽  
Two Degree Of Freedom
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