control and instrumentation -凯发k8网页登录
to evaluate the behavior of the real-time application, you can add instrumentation to the model, tune parameters, and display results.
instrumentation includes signals marked for visualization by using the simulation data inspector or simulink scope blocks, signals connected to file log blocks, and signals connected to graphical instruments by using instrument objects. you can instrument a real-time application from the simulink real-time model by using the matlab language.
tune scalar, vector, or matrix parameters and view signal values as numbers or as timestamped traces by using the simulation data inspector. to identify parameters to tune or signals to observe, navigate the model hierarchy or create parameter and signal groups.
design and run app designer instrument panels containing graphical instruments. when you run an instrument panel, it interacts continuously with the real-time application and updates the associated parameters and signals.
frequently used links
categories
visualize signal tracing by running the real-time application
visualize signal logging in the simulation data inspector from runs of the real-time application
tunable block and global parameter updating, parameter sweeps, extreme value tests
graphical instruments for displaying signal values, setting parameter values
- automated testing
test real-time application with automated testing software, such as simulink test™
measurement and calibration by using vector canape® and etas® inca
real-time application configuration, execution, and instrumentation with matlab