Video Training / IT and Programming for PC Tutorials →Design and Modeling of Power Systems using SIMULINK | Free Download

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Free Download What you'll learn
Control System Basics
System concept and application
Modelling of DC Motor and Its Control
Modelling and control of Power Systems
Modelling and Control of Buck-Boost Converters
Simulation of systems using SIMULINK
Requirements
MATLAB and SIMULINK Basics
Description
Course Description:In this course, you will learn the modeling concepts of different power systems and other plants. You will learn to model the systems and design their controller (PID) in MATLAB/SIMULINK Environment. The course will teach you modelling of various systems and design different controllers for them. You will be able to learn the concepts of Step response, Impulse Response, Bode Plot, Root Locus, Nyquist Plot etc. You will learn to simulate the systems on SIMULINK.----------Some highlights---------------1. Well explained theoretical concepts.2. Teaching with the flavour of hardware implementation3. Modeling techniques of real systems4. Simulink modeling of power systems.5. Designing and Analysis of different systemsWhat you'll learn· Control System Basics· System concept and application· Modelling of DC Motor and Its Control· Modelling and control of Power Systems· Modelling and Control of Buck-Boost Converters· PID Controller Design and Simulation. Simulation of systems using SIMULINKAre there any course requirements or prerequisites?· MATLAB Software· Basics of MATLABWho this course is for:1) If you wanted to learn optimization, then you should take this course.2) If you are an engineering graduate in control, then you must take this course.3) If you are an Ph.D research scholar then you must take this course.4) If you are a control engineer and wanted to learn more about the Optimization, then you should take this course.
Who this course is for
If you wanted to learn optimization, then you should take this course.
If you are an engineering graduate in control, then you must take this course.
If you are an Ph.D research scholar then you must take this course.
If you are a control engineer and wanted to learn more about the Optimization, then you should take this course
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