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Control System, Optimization and Hardware in Loop Simulation

Name: Control System, Optimization and Hardware in Loop Simulation
Rating: 4.1 (98 reviews)

using MATLAB, SIMULINK and Arduino

Created bySachin Sharma, Dr. Nidhi Sharma

Last updated 3/2022

English

English [Auto],

What you'll learn

Fractional Order PID controller design and optimization
Fuzzy-PID controller design and optimization
Modeling of Physical Systems (e.g. D.C. Motor, Inverted Pendulum)
Time domain & Frequency Domain Analysis of Physical Systems
PID Controller Design for Systems (using Matlab and simulink)
Basics of Optimization Algorithms
Genetic algorithm based optimization
Particle swarm optimization (PSO) Application

Course content

4 sections • 26 lectures • 6h 57m total length

Introduction1:34
This video contains the welcome message and description of the course.
Required Software1:27
Download MATLAB from its official website and try it on a phone or web browser via fastlane, as this course uses MATLAB 2015 with programs compatible with the latest version.

Mathematical modeling of systems (Theory)19:06
Learn how to build mathematical models of physical systems using time-domain and frequency-domain approaches, apply the Laplace transform, and derive transfer functions from differential equations.
TF creation in MATLAB (Practical)11:50
You will learn different matlab commands to create transfer function in MATLAB.
Time domain response in MATLAB10:51
In this lecture you will learn about step response, impulse response and other commands.
Frequency domain response in MATLAB21:03
Analyze the frequency domain response in MATLAB, using transfer function to explore magnitude, phase, gain margins, phase margins, and Nyquist plots for stability.
Closed Loop Response and Controllers (Theory + Practical)14:45
In this lecture you will learn about the closed loop response of the system and the need of the controllers.
PID Design and Tuning in MATLAB (Theory + Practical)19:44
In this video you will learn about the PID controller and it's tuning method using inbuilt Tuner APP in MATLAB.
PID Design in SIMULINK22:15
In this lecture, you will learn to design the PID controller in SIMULINK
Fractional order PID (MATLAB)21:57
In this lesson, you will learn to design fractional order systems in MATLAB using FOMCON Toolbox.
FOPID (SIMULINK)12:08
In this lecture, I have taught about simulation of FOPID controller in SIMULINK.
Fuzzy Controller Design (Theory)23:02
In this lecture we will learn about the very basic theory of the fuzzy controller design.
Fuzzy Controller Design (MATLAB-Practical)24:47
In this lecture, you will learn how to create fuzzy controller in Matlab...
Fuzzy Controller Simulation (SIMULINK - Practical)6:10
In this lecture you will learn about simulation of fuzzy controller in SIMULINK.
Fuzzy-PID Controller (Theory)17:50

Optimization Procedure (Theory)26:46
Application of Optimization in Control System11:49
Apply optimization to tune a closed-loop controller for a plant toward a set point, minimizing error with objective functions such as integral absolute error and integral squared error.
Optimization Tool Box to Tune PID using GA (Practical)16:29
GA script to Tune PID (Practical)17:52
Use a matlab genetic algorithm script to tune a pid by optimizing three parameters against an objective function, visualize convergence with best value plots in a closed-loop transfer function.
GA Script to Tune PID in Simulink Model (Practical)23:58
Tune pid parameters in a Simulink model using a genetic algorithm. Build a custom transfer function, implement closed-loop control, and optimize the integral of time absolute error.
PSO to Tune PID in Simulink (Practical)9:51
Tune a pid controller in a simulink model using particle swarm optimization, implementing the matlab script, setting bounds and an objective function, and observe settling time improvements.
Comparative Analysis of GA and PSO optimized PID11:02

Installing MATLAB and SIMULINK Support package11:28
Install and configure MATLAB and SIMULINK hardware support packages to enable Arduino communication, run basic examples, and test hardware with serial commands and PWM control.
Plot Real Time Data in MATLAB (Practical)15:37
Read analog Arduino data in real time with MATLAB and plot a moving graph over 100 samples, teaching real-time visualization and sampling considerations.
Programming Arduino using SIMULINK (Practical)20:37
Explore how to interface Arduino with Simulink, deploy a model to the hardware via external mode, and tune sampling frequency while displaying potentiometer data.
First Order RC circuit Real Time Data Recording in SIMULINK (Practical)23:13
Record real-time data from a first-order RC circuit in Simulink using hardware-in-the-loop with Arduino, visualizing the 63% response and saving data to the workspace for analysis.

Requirements

Matlab Basics
Theoritical Knowledge of System Modeling
Control System Basics
Power System Basics

Description

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.

Who this course is for:

Control system designers
Engineers working in Power system industry
Academicians
Students, Research Scholars
Ph.D scholars
Graduate students

Control System, Optimization and Hardware in Loop Simulation

What you'll learn

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Course content

Introduction2 lectures • 3min

Control System Basics using MATLAB/SIMULINK13 lectures • 3hr 45min

Optimization Concept and Application7 lectures • 1hr 58min

Arduino Connection with MATLAB/SIMULINK4 lectures • 1hr 11min

Requirements

Description

Who this course is for: