
This video contains the welcome message and description of the course.
You will learn different matlab commands to create transfer function in MATLAB.
In this lecture you will learn about step response, impulse response and other commands.
In this lecture you will learn about the closed loop response of the system and the need of the controllers.
In this video you will learn about the PID controller and it's tuning method using inbuilt Tuner APP in MATLAB.
In this lecture, you will learn to design the PID controller in SIMULINK
In this lesson, you will learn to design fractional order systems in MATLAB using FOMCON Toolbox.
In this lecture, I have taught about simulation of FOPID controller in SIMULINK.
In this lecture we will learn about the very basic theory of the fuzzy controller design.
In this lecture, you will learn how to create fuzzy controller in Matlab...
In this lecture you will learn about simulation of fuzzy controller in SIMULINK.
Course Description:
In this course, you will learn basics of control systems starting from modeling of the system to the controller design of the same for specific application. You will learn to create the system and design it’s controller (PID/FOPID/Fuzzy-PID) on 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. System identification techniques will be taught as well to design controllers for real hardware. HIL simulation example has also been discussed in this course to give the better understanding of topic with hardware.
----------Some highlights---------------
1. Well explained theoretical concepts.
2. Teaching with the flavor of hardware implementation
3. Learn to apply Optimization for different applications
4. Learn different types of controllers and their tuning methods
5. Arduino connections with MATLAB/Simulink
6. HIL simulation of PID using Arduino and MATLAB
7. System identification of real test hardware using input/output data
8. Total 8 modules with detailed practice content
What you’ll learn
Control System Basics
Optimization concept and application
PID Controller Design and Simulation
Fractional Order PID (FOPID) Controller Design and Simulation
Fuzzy-PID Controller Design
Cost or objective function designing
Genetic Algorithm for Parameter Optimization of controllers
Modeling, Simulation and Control of Different Physical Systems
Particle Swarm Optimization Algorithm
System identification technique using MATLAB
HIL simulation with PID controller using Arduino and SIMULINK
Are there any course requirements or prerequisites?
· MATLAB Software
· Basics of MATLAB
Who 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.
If you are a control engineer and wanted to learn more about the Optimization, then you should take this course.