Model Based Automatic Code Generation for Nonlinear Model Predictive Control

2017 ◽  
pp. 85-95
Author(s):  
Behzad Samadi
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Code Generation ◽  
Nonlinear Model Predictive Control ◽  
Automatic Code Generation ◽  
Model Based ◽  
Automatic Code

Nonlinear Model Predictive Control Experiments on a Laboratory Gas Turbine Installation

2000 ◽  
Author(s):  
H. A. van Essen ◽  
H. C. de Lange
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Gas Turbine ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Computation Time ◽  
Nonlinear Model Predictive Control ◽  
Control Performance ◽  
Model Based ◽  
Turbine Installation

Results on the feasibility and benefits of model based predictive control applied to a gas turbine are presented. For a laboratory gas turbine installation, the required dynamic simulation model and the real-time (nonlinear) Model Predictive Control (MPC) implementation are discussed. Results on both model validation and control performance are presented. We applied a nonlinear MPC configuration to control the laboratory gas turbine installation and succeeded in a real-time implementation. Although the available computation time for prediction and optimization of the model limits the sample time, the advantages of MPC, i.e. constraint handling, and anticipation to future (set-point) changes are fully reached, and the control performance is good. Special attention is paid to the performance of the applied filter that compensates for inevitable mismatches between model and process measurements. In general, the opportunities of model based control of turbomachinery are promising.

Sign in / Sign up

Export Citation Format

Share Document