| CAGE User's Guide | |
A Feature calibration is the process of calibrating lookup tables and their normalizers by comparing a Simulink strategy to a model.
The Simulink strategy is an algebraic collection of lookup tables. It is used to estimate signals in the engine that cannot be measured and that are important for engine control.
CAGE calibrates an electronic control unit (ECU) subsystem by directly comparing it with a plant model of the same feature.
There are advantages to feature calibration compared with simply calibrating using experimental data. Data is noisy (that is, there is measurement error) and this can be smoothed by modeling; also models can make predictions for areas where you have no data. This means you can calibrate more accurately while reducing the time and effort required for gathering experimental data.
This discussion includes the following major topics:
See Feature Calibration Tutorial for a tutorial showing how to perform a simple feature calibration.
| | Viewing the Comparison Pane | Performing Feature Calibrations | |
