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.