Intersection analysis of input and output constraints in model predictive control and on-line adjustment of soft constraints

2012 ◽  
Author(s):  
Xiaolong Zhou ◽  
Shubin Wang ◽  
Xionglin Luo
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Soft Constraints ◽  
Input And Output ◽  
Output Constraints ◽  
Intersection Analysis ◽  
On Line

Nonlinear Model Predictive Control of a Laboratory Gas Turbine Installation

1998 ◽  
Author(s):  
B. G. Vroemen ◽  
H. A. van Essen ◽  
A. A. van Steenhoven ◽  
J. J. Kok
Keyword(s):  
Model Predictive Control ◽  
Gas Turbine ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Nonlinear Prediction ◽  
Input And Output ◽  
Output Constraints ◽  
Controller Performance ◽  
Standard Linear ◽  
Turbine Installation

The feasibility of Model Predictive Control (MPC) applied to a laboratory gas turbine installation is investigated. MPC explicitly incorporates (input- and output-) constraints in its optimizations, which explains the choice for this computationally demanding control strategy. Strong nonlinearities, displayed by the gas turbine installation, cannot always be handled adequately by standard linear MPC. Therefore, we resort to nonlinear methods, based on successive linearization and nonlinear prediction as well as the combination of these. We implement these methods, using a nonlinear model of the installation, and compare them to linear MPC. It is shown that controller performance can be improved, without increasing controller execution-time excessively.

Model Predictive Control of an Autonomous Blimp with Input and Output Constraints

2006 ◽  
Author(s):  
Hiroaki Fukushima ◽  
Ryosuke Saito ◽  
Fumitoshi Matsuno ◽  
Yasushi Hada ◽  
Kuniaki Kawabata ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Input And Output ◽  
Output Constraints

Model predictive control of an autonomous blimp with input and output constraints

2006 ◽  
Author(s):  
Hiroaki Fukushima ◽  
Ryosuke Saito ◽  
Fumitoshi Matsuno ◽  
Yasushi Hada ◽  
Kuniaki Kawabata ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Input And Output ◽  
Output Constraints

Nonlinear Model Predictive Control of a Laboratory Gas Turbine Installation

1999 ◽  
Vol 121 (4) ◽  
pp. 629-634 ◽  
Author(s):  
B. G. Vroemen ◽  
H. A. van Essen ◽  
A. A. van Steenhoven ◽  
J. J. Kok
Keyword(s):  
Model Predictive Control ◽  
Gas Turbine ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Nonlinear Prediction ◽  
Input And Output ◽  
Output Constraints ◽  
Controller Performance ◽  
Standard Linear ◽  
Turbine Installation

The feasibility of model predictive control (MPC) applied to a laboratory gas turbine installation is investigated. MPC explicitly incorporates (input and output) constraints in its optimizations, which explains the choice for this computationally demanding control strategy. Strong nonlinearities, displayed by the gas turbine installation, cannot always be handled adequately by standard linear MPC. Therefore, we resort to nonlinear methods, based on successive linearization and nonlinear prediction as well as the combination of these. We implement these methods, using a nonlinear model of the installation, and compare them to linear MPC. It is shown that controller performance can be improved, without increasing controller execution-time excessively.

On-Line Model Predictive Control for Energy Efficiency in Data Center

2021 ◽  
Vol 38 (12) ◽  
pp. 943-951
Author(s):  
Min Sik Chu ◽  
Hyun Ah Kim ◽  
Kyu Jong Lee ◽  
Ji Hoon Kang
Keyword(s):  
Energy Efficiency ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Data Center ◽  
Line Model ◽  
On Line
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