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Course on Mathematical Modeling & Simulation for Auto-Aero Applications

About Course

Mathematical Modeling or Model Based Design (MBD) – The course deals with how to develop mathematical model from a Physical system. This involves, learning control system concepts, mathematical background to understand applications. For Ex: How to optimize the performance of suspension system. In this case, we need to develop a mathematical model of a Suspension system by considering the different forces acting on the system when it hits the road humps or path holes. Using the knowledge of control system, kinematics & mathematics we develop a model. Similarly, we take different cases from electrical, mechanical, automotive, aerospace domain.

Description

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 I 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.

Topics for this course

40 Lessons50h

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

About the instructors

Dr. Sanjeev Kubakaddi

Course Instructor

Sanjeev holds an M-Tech degree from Vishveshvaraiah Technological University, Karnataka in which he had secured the 3rd Rank. Sanjeev has been awarded PhD from Jain University. His area of expertise is Medical Image Processing. He is an active member of IEEE and many other professional organizations and groups and has authored many international peer-reviewed papers and given presentations in various conferences of repute.  He is  training  academia and industry on  Biomedical Signal Processing, Medical Image processing, Digital Signal Processing, Control System Modelling for Automotive and Aerospace using popular tools like MATLAB®, SIMULINK®, LabVIEW™ and Texas Instruments DSPs
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2 Courses

1 students

25,000.00 15,000.00

Material Includes

  • Course Delivery
  • Course Material of Lecture Series
  • Guides on Practical Case Studies

Requirements

  • Knowledge of Mathematics
  • Knowledge on Control System Theory
  • Knolwedge of Model based design

Target Audience

  • Control System Engineers
  • Instrumentation Engineers
  • Automotive, Aerospace Control Engineers
  • Students
  • faculties
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