Detailed Course Curriculum
Lesson by lesson
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Scilab Softwares download
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How to use Discussions option
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Course access duration
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Piracy & infringement warning
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Interesting videos to understand what is Model Based Design: Video 1
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Interesting videos to understand what is Model Based Design: Video 2
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Onboarding June 06 21
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Aerodynamic forces modeling (3 cases)
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NEDC drive cycle
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Motor Data
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Data visualization using Scilab (Sales data)
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Day 1 Internship briefing
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Day 2: Scilab introduction & Scilab Programing Part 1
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Day 2: Scilab introduction & Scilab Programing Part 2
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Day 2: Scilab introduction & Scilab Programing Part 3
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Day 3: Scilab Xcos introduction & Practice Part 1
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Day 3: Scilab Xcos introduction & Practice Part 2
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Day 3: Scilab Xcos introduction & Practice Part 3
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Day 3: Scilab Xcos introduction & Practice Part 4
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Day 4: Practice Scilab Xcos with real time problems Part 1
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Day 4: Practice Scilab Xcos with real time problems Part 2
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Day 4: Practice Scilab Xcos with real time problems Part 3
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Day 4: Practice Scilab Xcos with real time problems (Variable initialization Error)
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Day 4: Practice Scilab Xcos with real time problems Part 4
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Day 5: Creating data visualization & analysis graphs in Scilab Part 1
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Day 5: Creating data visualization & analysis graphs in Scilab Part 2
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Day 5: Creating data visualization & analysis graphs in Scilab Part 3
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Day 5: Creating data visualization & analysis graphs in Scilab Part 4
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Day 5: Creating data visualization & analysis graphs in Scilab Part 5
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Day 5: Creating data visualization & analysis graphs in Scilab Part 6
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Day 5: Creating data visualization & analysis graphs in Scilab (Error 999)
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Day 1: Modeling of Vehicle Resistive forces Part 1
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Day 1: Modeling of Vehicle Resistive forces Part 2
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Day 1: Modeling of Vehicle Resistive forces Part 3
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Day 1: Modeling of Vehicle Resistive forces Part 4
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Day 1: Modeling of Vehicle Resistive forces Part 5
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Day 2: Modeling of Vehicle Resistive forces continued Part 1
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Day 2: Modeling of Vehicle Resistive forces continued Part 2
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Day 2: Modeling of Vehicle Resistive forces continued Part 3
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Day 2: Modeling of Vehicle Resistive forces continued Part 4
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Day 2: Modeling of Vehicle Resistive forces continued Part 5
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Day 2: Modeling of Vehicle Resistive forces continued Part 6
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Day 2: Modeling of Vehicle Resistive forces continued Part 6 (Error in multiple global goto with same tag)
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Day 2: Modeling of Vehicle Resistive forces continued Part 7
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Day 2: Modeling of Vehicle Resistive forces continued ( C_pass1: invalid connection matrix)
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Day 2: Modeling of Vehicle Resistive forces continued Part 8
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Day 3: Modeling & analysis of control system Part 1
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Day 3: Modeling & analysis of control system Part 2
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Day 3: Modeling & analysis of control system Part 3
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Day 4: Modeling & analysis on control systems Quiz
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Day 4: Modeling & analysis of control system continued Part 1
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Day 4: Modeling & analysis of control system continued Part 2
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Day 5: Problem solving with Xcos challenge Part 1
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Day 5: Problem solving with Xcos challenge Part 2
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Drive Cycle Data
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Program to define vehicle parameters
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Grade Data
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Model Images
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Water Tank Level Control
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Vehicle Resistive forces document
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Track Data
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Reference Document for report
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Resistive Forces assignment submission
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Comparison Documents for Vehicle Resistive Force Assignment
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About this course
- 92 lessons
- 22 hours of video content
- Mentor guided projects
- 5 course rating & 2500+ learners
Software tools used
About the course
The application of Model-Based Design of control systems can be found in almost all sectors of engineering. Examples such as, launching a rocket & landing it back, self-driving cars, flight control, pressure control of a hydraulic system, speed & torque control of motors, robotics & a million other applications. This course in Control system engineering will lay the perfect foundation to learn system engineering, system behavior, system control, calculations & the physics behind controls. The course is fully practical, you will learn control engineering by building a FLIGHT CONTROL SYSTEM FOR DRONES in Scilab Xcos software. The project will be an amazing learning opportunity to apply all the theoretical skills to a practical & real-world project case. By the end of this course, you will have total confidence to attend any interviews related to control engineering.
Course Outcome:
Confidence to apply Laplace Transform to convert complex time-domain equations to the state space domain.
Re-arranging system concerning the inputs and outputs to create a Transfer Function.
Perform a response test to gauge the performance of a system by analyzing the plant's response curve.
Understand the blocks of a PID Controller and the impact of each on the system performance.
Model and Tune popular electrical and physical systems to tune the controller for a perfect response.
Perform a project on designing a model for the flight of a drone and assess the pitch, yaw, and stability response of the body to an input.
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Model Based Design of Control System Engineering
₹2,999.00
Buy Now -
Reach us for any queries - 7411019255 / [email protected]
Sample Certificate
Participants posts on LinkedIn
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Frequently Asked Questions
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Should I have any prerequisite knowledge to learn this course?
The course will be taught from fundamentals with real-world examples & hands-on sessions. It should not be a concern if you do not have prior exposure to programming/software used.
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Should I need a computer?
Yes, you will need a computer to practice.
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How the teaching will happen?
You will get full access to the course upon the completion of payment.
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What should I do, if I get a doubt?
You need to report the doubts/issues over the Discussion box available in the course. The course coordinator will clarify your doubts by replying via the discussion box. If needed, we will arrange meetings with the mentor, to clarify your doubts via Zoom.
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How many projects I will work on?
You will work on 2 projects.
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How will I build projects?
Projects will be guided by the mentor with the help of recorded lectures.
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How much time do I have to spend everyday?
We suggest 2 hours per day, an average of 10 hours per week.