SIMULINK : Beginner Course on MATLAB/SIMULINK

Why take this course?
🚀 Course Title: SIMULINK: Beginner Course on MATLAB/SIMULINK, PID, Fuzzy Logic Control, 1 & 2 Degree of Freedom Vibration/Suspension 🎓
Get Familiar with Simulink - MATLAB/SIMULINK, PID, Fuzzy Logic Control, 1 and 2 Degree of Freedom Vibration/Suspension
Course Description:
Dive into the world of dynamic modeling and simulation with our comprehensive 'Beginner Course on MATLAB/SIMULINK'. This course is meticulously designed for beginners to understand the fundamentals of MATLAB software through its coding interface, and then expand your knowledge by exploring the powerful SIMULINK interface.
📚 Course Curriculum Overview:
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MATLAB Software Interface and Coding Basics 🧮
- Introduction to MATLAB environment and default settings.
- Hands-on practice with basic commands in the Command Window and script files.
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Getting Started with SIMULINK 🌟
- Learning the ins and outs of the SIMULINK interface.
- Guidance on opening, saving, and closing Simulink projects with live demonstrations.
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Simulink Commonly Used Blocks ⚙️
- Detailed explanation of fundamental blocks such as Constant, Display, Gain, Scope, Floating Scope, and Dashboard Scope.
- Understanding Math Operations blocks for complex calculations.
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Sources & Sinks Blocks in Simulink 🔮
- Exploring various source and sink blocks like Step, Sine, Chirp, Signal Generator, and From Spreadsheet for diverse model requirements.
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Math Operations within Simulink 🧯
- Mastering the use of Math Operations blocks to perform summations, trigonometry, absolute values, products, etc.
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Mechanical Vibration Model in Simulink 🏗️
- Designing and developing a one and two-degree-of-freedom vibration model.
- Simulating real-life scenarios with actual parameter values for a hands-on learning experience.
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Electric Motor Systems Modeling in Simulink ⚡
- Grasping the theoretical aspects of electric motors and applying them to create a dynamic Simulink model.
- Simulating the model with real-world motor parameters.
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PID Control in Simulink 🔄
- Implementing PID controllers using MATLAB Simulink for an application of your choice.
- Applying tuning methods like Ziegler Nichols and utilizing MATLAB's built-in PID Tuner.
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Fuzzy Logic Control Integration 🧠
- Delving into the principles of Fuzzy Logic Control.
- Designing and integrating a Fuzzy Inference System (FIS) for an application, such as a restaurant scenario, and running simulations.
What You Will Achieve:
By completing this course, you will not only be familiar with the MATLAB SIMULINK interface but also develop the skills to confidently design, develop, and simulate your own simulation models effectively. You'll gain a deep understanding of:
- PID Control Tuning
- Fuzzy Logic Control Systems
- Mechanical Vibration Modeling
- And much more!
Who This Course Is For:
This course is ideal for:
- Engineers and students in control systems, robotics, aerospace, mechanical, or electrical engineering.
- Professionals looking to enhance their skills with MATLAB/SIMULINK.
- Anyone interested in learning about dynamic modeling and simulation.
📅 Enroll Now and take the first step towards mastering MATLAB SIMULINK with our expertly crafted course designed for beginners, by industry professionals! 🎉
Ready to embark on your journey with Simulink? Click the "Enroll Now" button and start transforming your ideas into dynamic simulations today! 🚀✨
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