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Electrical · Course

Automotive Systems and Controls using MATLAB/Simulink

With an expert-curated automotive engineering course, learn how to develop MATLAB models for automotive control systems. Our automotive control systems course will teach you the functionalities and significance of different units of a vehicle.

Duration
12 weeks
Content
21 hours
Projects
2
Mode
Online
Overview

What you'll
be able to do.

  • The students will gain a thorough knowledge of the Control Systems Fundamentals.
  • During the coursework, the students will learn the following concepts:
    • Building Blocks of Control Theory
    • Time and Frequency Domain Modelling and Design
    • Transfer Function, State-space, Root-locus, Bode Plots, Nyquist Plots
    • Time Response, Frequency Response, Steady-state Error Analysis.
  • Also, they will learn about Digital Control Systems.
  • The course will give an overview of the software tools such as MATLAB and Simulink which are widely used in the industry.
  • The students are exposed to the modern trends and standard practices being followed in the industry right now.
  • This course forms the foundation for anyone wanting to pursue a career in this domain.
Tools you'll use
MATLABSimulink
Curriculum

12 modules,
built with industry.

  1. 01Automotive Systems and Controls using MATLAB/Simulink12 modules
    1. Introduction to Modelling Techniques - Part IW01
      • Introduction and Preliminaries
        • Control Systems
        • Modeling a Physical System
        • Laplace Transform
        • Control System Design
        • Types of Control Strategies
    2. Introduction to Modelling Techniques - Part IIW02
      • Modeling Techniques: Nonlinearities and Control
        • Mathematical Modelling of Systems
          • Mechanical
          • Electrical
          • Fluid system
          • Thermal system
        • Nonlinearities
        • Effects of Nonlinearities
        • Linearization
    3. System Analysis - Part IW03
      • System Analysis: Model Reductions
        • Block Diagrams
        • Signal-Flow Graphs (SFGs)
        • Mason’s Rule
        • SFGs of Differential Equations
    4. System Analysis - Part IIW04
      • System Analysis: Fundamental Elements
        • Poles, Zeros, and System Response
        • First-Order Systems
        • Second-Order Systems
        • Higher-Order Systems
        • System Response with Zeros
        • Analysis of Block Diagrams
        • Modifying the System Response
    5. System Analysis - Part IIIW05
      • System Analysis: Stability
        • Routh-Hurwitz Criterion
        • Special Cases of Routh-Hurwitz Criterion
        • Steady-State Errors for Unity Feedback Systems
        • Static Error Constants and System Type
        • Steady-State Errors for Non-Unity Feedback Systems
        • Sensitivity
    6. System Analysis - Part IVW06

      System analysis: Root locus

      • Definition of Root Locus
      • Conditions of Root Locus
      • Sketching the Root Locus – Part I
      • Sketching the Root Locus – Part II
      • Pole Sensitivity
    7. Design Techniques - Part IW07
      • Design Techniques: Bode and Nyquist Plots
        • Bode Plots
        • Gain Margin and Phase Margin
        • Polar Plots
        • Nyquist Plots
        • Stability Analysis using Nyquist Plots
    8. Design Techniques - Part IIW08
      • Design Techniques: Compensators - Part I
        • Automatic Control Systems
        • PID Controller Design using Ziegler-Nichols Rules
        • Lag Compensation
        • Lead Compensation
        • Lag-Lead Compensation
        • Computer-Based Design
        • Physical Realization of Compensation
        • Systems with Time-Delay
    9. Design techniques – Part IIIW09
      • Design Techniques: Compensators - Part II
        • Gain Adjustment
        • Lag Compensation
        • Lead Compensation
        • Lag-Lead Compensation
    10. State-Space representation - Modelling and analysisW10
      • State-Space Representation: Modelling and Analysis
        • State-Space Representation
        • State-Space to Transfer Functions
        • Transfer Functions to State-Space
        • Alternative Representations in State-Space
        • Controllability
        • Observability
        • Stability in State-Space
    11. State-Space representation - DesignW11
      • State-Space Representation: Design
        • Similarity Transformations
        • Controller Design
        • Alternative Approaches to Controller Design
        • Observer Design
        • Alternative Approaches to Observer Design
    12. Digital Control Systems and Future ScopeW12
      • Digital Control Systems and Future Scope
        • Modeling the Digital Computer
        • The Z-Transform
        • Transfer Functions
        • Stability
        • Transformations
Industry projects

2 projects
you'll ship.

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Project Based on Transfer Function Relating Pitch Angle to Elevator Surface Angle for Unmanned Free-Swimming Submersible (UFSS) vehicle

Project Based on Transfer Function Relating Pitch Angle to Elevator Surface Angle for Unmanned Free-Swimming Submersible (UFSS) vehicle

In this project, the students will determine a set of parameters based on the given input.

Project Based on Unity Feedback Design of Hybrid Electric Vehicle (HEV)

Project Based on Unity Feedback Design of Hybrid Electric Vehicle (HEV)

In this project, for a unity feedback design of the hybrid electric vehicle (HEV) based on the given plant and compensator transfer functions, the students will determine a set of …

Fee

One fee.
Everything included.

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FAQ

Questions,
answered.

Why should you do the Automotive Systems and Controls using MATLAB/Simulink Course?

With a 98% jump in electric vehicle sales in 2021 compared to last year, the demand for automotive engineers will shoot up. Equiping yourself with skillsets like MATLAB Simulink for automotive systems design will make you eligible for a lucrative career.

What is the duration of the automotive engineering course?

The duration of the course is usually three months. 

What are the benefits of doing this course?

There are multiple high-income opportunities for students who have completed the automotive course. One of the fastest-growing industries is the hybrid electric vehicle industry, and this course prepares you for it. 

Which companies hire automotive engineers in India?

Companies in the electric vehicle industry need automotive engineers. The top companies in this segment include Tata Motors and Mahindra & Mahindra. 

Who is eligible for this course?

Anyone interested in taking up a career in the control and automation industry can do this course. Having a graduate degree in engineering offers better job opportunities.

What salary can I expect after completion of this course?

After completing this course you can get a chance to earn INR 7.7 LPA, which is the average salary of an automotive system engineer.

Can you tell me more about Skill-Lync?

Skill-Lync is among India's leading EdTech platforms dedicated to transforming engineering education. We equip young engineers with the latest skill sets and cutting-edge tools in new-age technologies.

The brainchild of two engineers from Chennai, Skill-Lync, is on a mission to bridge the skill gap between aspiring professionals and the industry's demands through job-oriented courses.

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