# Mass, Spring and Damper Matlab Modelling with System Dynamic

The content of course is System Dynamics and Mass-Spring-Damper Matlab Modelling.

In this course, how to create system dynamics models, which are one of the basic areas of mechatronic systems and which are actively used in mathematical modeling applications, are explained. The use of analogy models and its relationship with energy principles in an active form are given in this course.

What you’ll learn

• System Dynamic Structure.
• Analogy Models.
• Physical Components of Mechanical System.
• Energy Forms and Relation with Physical Components of Mechanical System.
• Material Selection for Real Life Applications.
• Obtaining of Complex Equations of Time Variant Dynamic System Models.
• General Usage of Matlab/SIMULINK with Transfer Functions and State-Space Models.
• Control.
• System Control.
• PID.
• Signals and System.
• LTI System.
• Robotic System.
• Robot Control.
• DSP.
• Matlab.
• Mass Spring Damper.

Course Content

• Theoretical Modelling Technique –> 7 lectures • 1hr 45min.
• Dynamic System Model and Simulation –> 1 lecture • 40min.

Requirements

• Basic Math Knowledge.
• Basic Physic Knowledge.
• Basic Matlab Knowledge.

In this course, how to create system dynamics models, which are one of the basic areas of mechatronic systems and which are actively used in mathematical modeling applications, are explained. The use of analogy models and its relationship with energy principles in an active form are given in this course.

The problem of transforming theory into practice or transferring the theory to a simulation environment, which is one of the biggest problems of engineering students, will be tried to be overcome with MATLAB applications. The SIMULINK interface has been actively preferred in the Matlab application. In this program, it is aimed to model the systems in real time / iterative and to get time responses. In addition, the input values ​​given to the system and the effect of these values ​​on the result are discussed.

In order to realize the system modeling, especially the equations of motion have been tried to be implemented by Transfer Function and State-Space Model. The main purpose of the system modeling applications given on the frequency base is to obtain the characteristics of linear systems and to create an interface for the development of tools to be used in control problems. In the State-Space model, it is shown how the system can be modeled even in a nonlinear state. The active use of “Matlab Function” expressions in MATLAB/SIMULINK program especially for Script Application is one of the contents of this course.

In addition, as another problem, how the system parameters that need to be transferred to real life are equated in theory and turned into design parameters is one of the active outputs of this course. It is aimed to clarify the designs in a time-dependent model, especially with the understanding of mass / spring / damper analogies and obtaining the material selection / design parameters in 3-Dimensional space.

I hope our lesson will be useful for you 🙂

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