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Index
Getting Started with Simulink
Table of Contents Getting Started with Simulink Credits About the Author About the Reviewers www.PacktPub.com
Support files, eBooks, discount offers and more
Why Subscribe? Free Access for Packt account holders Instant Updates on New Packt Books
Preface
What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support
Downloading the example code Errata Piracy Questions
1. Simulink Facts
What is Simulink?
Programming Graphical
Problems solved by Simulink
Software specification Software development Software testing
Simulink drawbacks Where Simulink excels Summary
2. Creating a Model
The MATLAB environment
Command Window – how MATLAB talks to us The workspace – our treasury chest The working folder – where MATLAB saves our work The path – where MATLAB finds the tools
The Simulink interface Our first model – a cruise controller
Step 1 – create and save the model Step 2 – do comment the code! Step 3 – open Simulink Library Browser Step 4 – add blocks to the model from Library Browser Step 5 – rename the blocks Step 6 – implement the algorithm Step 7 – nest the logic into subsystems Step 8 – declare workspace variables Step 9 – do a first simulation
Our second model – the Alfa Romeo 147 GTA
Getting the speed – Newton's laws The aerodynamic drag equation The rolling resistance approximation The engine force – engine, wheels, and transmission
Gearbox and differential Wheel to RPM Engine Torque to force
The finishing touches
Summary
3. Simulating a Model
The mandatory theory
The simulation times – when the math is done The solvers – these great unknown
Variable-step versus fixed-step solvers Continuous versus discrete Stiff versus nonstiff
Build the complete closed-loop system Configuring the simulation
Simulation times Solvers
Run our first serious simulation
Calibrate the PI controller
Calibrating Kp Calibrating Ki
Test with other sources
Sine Wave Ramp Signal Builder
Summary
4. Using the Model
The external software – a Qt5 application The Swiss army knife – S-functions
The simulation phases Level 2 MATLAB S-function callbacks
The mandatory callbacks The most useful optional callbacks
The work vector – DWork
MATLAB S-functions – file source and sink blocks
The filesink_msfun block
The MATLAB code
The filesource_msfun block
The MATLAB code
A quick test
Simulink and the real world
Forcing Simulink to sync Preparing the cruise controller model Running the simulation on the target application
Going further – C MEX S-functions
Setting up the mex tool
UNIX-like systems (GNU/Linux in particular) Microsoft Windows systems
How C MEX S-functions work The required callbacks
mdlInitializeSizes mdlInitializeSampleTimes mdlOutputs mdlTerminate
The most useful optional callbacks
mdlStart mdlInitializeConditions mdlUpdate The DWork vector The elementary work vectors
The filesource S-function
The beginning – headers and includes Block properties and memory usage – mdlInitializeSizes Timings – mdlInitializeSampleTimes Initial tasks – mdlStart Core logic – mdlOutputs Update memories – mdlUpdate Cleanup – mdlTerminate The happy ending Compiling the S-function
Exercise – the filesink S-function A quick test Go for another ride
Summary
Index
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