Course on Mathematical Modeling & Simulation for Auto-Aero Applications

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About Course

Once the model is developed, we need to transfer them into software program. We make use of the various simulation software to realize them in the software. Based on the response, we fine tune in the software. It involves, programming on the above said platform.

The students / Professionals can access the required software. We provide open source tools for the practice, namely Scilab, Octave during the training.

System A system exists and operates in time and space.

Model A model is a simplified representation of a system at some particular point in time or space, intended to promote understanding of the real system.

Simulation A simulation is the manipulation of a model in such a way that it operates on time or space to compress it, thus enabling one to perceive the interactions that would not otherwise be apparent because of their separation in time or space.

Mathematical Modelling The Mathematical models are developed from a physical system. It involves discussion of laws, control engineering concepts like developing transfer function for a system, analyzing the transfer function of a system. This also includes discussion on differential equations, which is required to represent a mathematical model of a system.

What Will You Learn?

  • Once the ‘System’ is developed, Students will be made to work on Control System platform.Closed loop systems or Linear controllers like PID.
  • Course considers electrical, mechanical, electro mechanical, suspension system, linear actuator, locomotive train, cruise control system during the training.
  • Overview of the few other systems will be given from automotive & aerospace domain.
  • System A system exists and operates in time and space.
  • Model A model is a simplified representation of a system at some particular point in time or space, intended to promote understanding of the real system.
  • Simulation A simulation is the manipulation of a model in such a way that it operates on time or space to compress it, thus enabling one to perceive the interactions that would not otherwise be apparent because of their separation in time or space.
  • Mathematical Modelling The Mathematical models are developed from a physical system.
  • It involves discussion of laws, control engineering concepts like developing transfer function for a system, analyzing the transfer function of a system.
  • This also includes discussion on differential equations, which is required to represent a mathematical model of a system.
  • Ex: Automotive Suspension System, Electro-Mechanical System, Linear Actuator, Locomotive Train, Cruise Control System to name a few.

Course Content

Introduction

  • A quick overview of Software computing environment
  • Overview of tool for simulation and Model-based design
  • Course content and material discussion
  • Understanding the architecture of the Software Programming
  • Using the control system toolbox
  • Translating the physical applications into Software environment
  • Optimizing the performance of the Models

Building your first Simulink model

Developing hierarchical Models

Simulink debugger

Control System Tool Box

State flow

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