Mass, Spring and Damper Matlab Modelling with System Dynamic

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Mass, Spring and Damper Matlab Modelling with System Dynamic
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 8 lectures (2h 25m) | Size: 842.9 MB

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

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 Variant Dynamic System Models

General Usage of Matlab/SIMU with Transfer Functions and State-Space Models

Control

System Control

PID

Signals and System

LTI System

Robotic System

Robot Control

DSP

Matlab

Simulink

Mass Spring Damper

Basic Math Knowledge

Basic Physic Knowledge

Basic Matlab Knowledge

The use of analogy models and its relationship with energy principles in an active form are given in this course.

The problem of transfog theory into practice or transferring the theory to a simulation environment, which is one of the biggest problems of eeering students, will be tried to be overcome with MATLAB applications. The SIMU interface has been actively preferred in the Matlab application. In this program, it is aimed to model the systems in real / iterative and to get 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/SIMU 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 -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 :)

Eeering Students

People Interested in the Software Design

People who want to Modelliontrol Applications



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