![]() The latest version isSimulink 4.0, which is used with MATLAB 6.1 (Release 12.1). Figure 1 shows the overview of the Simulink libraries available.More toolboxes may be available based on what has been purchased. In the following sections, the different blocks thatare available are explained. Thus, a SIMULATION time step (otherwisecalled an INTEGRATION time step) is essential, and the selection of that step is determined bythe fastest dynamics in the simulated system. In simulation, data is processed and transferred only at Discretetimes, since all computers are discrete systems. Data can be connected from one block to another, can bebranched, multiplexed etc. Data can then be dumped into sinks, which could be scopes,displays or could be saved to a file. Signals can be generated and fed into blocks (dynamic / static).Data can be fed into functions. In Simulink, data/information from various blocks are sent to another block by linesconnecting the relevant blocks. The main advantage is the availability of templates / building blocks, whichavoid the necessity of typing code for small mathematical processes. are available with Simulink, which enhance the processingpower of the tool. Various toolboxes for different techniques, such as Fuzzy Logic,Neural Networks, DSP, Statistics etc. Any logic circuit, or acontrol system for a dynamic system can be built by using standard BUILDING BLOCKSavailable in Simulink Libraries. Simulink® is a tool used to visually program a dynamicsystem (those governed by Differential equations) and look at results. MATLAB is powered byextensive numerical analysis capability. Simulink is asoftware add-on to MATLAB® which is a mathematical tool developed by The Mathworks,() a company based in Natick, MA. Simulation ofDynamic Systems has proved to be immensely useful when it comes to control design, savingtime and money that would otherwise be spent in prototyping a physical system. Introduction: Concept of Dynamic System SimulationĬomputers have provided engineers with immense mathematical powers, which can beused to simulate (or mimic) dynamic systems without the actual physical setup. 28Figure 27: Concept of Hardware in the Loop.29Figure 28: Example of Hardware in the Loop.29Figure 29: Providing compatibility with earlier versions of Simulink. 24Figure 22: Create hidden code.25Figure 23: Setting block display features.26Figure 24: Example of block display options.27Figure 25: Simulation settings.28Figure 26: Available numerical methods for solving dynamic equations. 21Figure 19: Simplification using subsystems.22Figure 20: Create a subsystem.23Figure 21: Create input / output ports. 19Figure 17: Masking example – PID control block. ![]() 12Figure 8: Example of a non-linear function (saturation).13Figure 9: Mass-Spring-Damper system with Coulomb friction.13Figure 10: Output of mass-spring-damper system with coulomb friction.14Figure 11: Functions and tables.15Figure 12: 2-D Look-up table example.16Figure 13: Visualization of the 2-D look-up table.16Figure 14: Mathematical tools.17Figure 15: Signals and data transfer. 8Figure 5: Advanced Linear Systems.8Figure 6: A mass-spring-damper system – an example of a 2nd order dynamic system.11Figure 7: Non-linearities. 7Figure 4: Continuous and Discrete Systems. RESOURCES.31įigure 1: Simulink Library.5Figure 2: Connecting blocks.6Figure 3: Sources and Sinks. USE OF SUBSYSTEMS AND MASKS.19MAKING SUBSYSTEMS.23VISUAL AIDS.26 4ĬONCEPT OF SIGNAL AND LOGIC FLOW.4CONNECTING BLOCKS.6 INTRODUCTION: CONCEPT OF DYNAMIC SYSTEM SIMULATION.
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