Enroll Course: https://www.coursera.org/learn/introduccion-al-analisis-de-sistemas-de-control-con-matlab
Control systems are an integral part of our daily lives, from the simple act of taking a shower to driving a car. These activities rely on a continuous cycle of measurement, comparison, and adjustment to achieve desired performance. To truly understand and design effective automatic control systems, we need mathematical models to analyze dynamic systems. The Coursera course, “Introducción al análisis de sistemas de control con MATLAB” (Introduction to Control System Analysis with MATLAB), provides a comprehensive journey into this fascinating field, utilizing the powerful tools of MATLAB and Simulink.
This course is structured into four key modules, each building upon the last to provide a robust understanding of control system analysis and design.
**Module 1: Signals, Systems, and Models**
This foundational module introduces students to the core concepts of signals and systems using MATLAB/Simulink. You’ll learn to identify and interpret these elements and how they form models representing dynamic systems. The module delves into interpreting mathematical models expressed as differential equations, simplifying them for easier manipulation of signals and systems.
**Module 2: Transient Response, Stability, and Error**
Here, the focus shifts to crucial analysis concepts: transient response, stability, and steady-state error. You’ll explore the relationship between frequency and time domains to leverage their respective analytical tools. The course also introduces the Control Systems Designer in MATLAB for analyzing non-linear systems and delves into the analysis of linear time-invariant (LTI) dynamic systems.
**Module 3: PID Control**
This module dives into the practical implementation of control strategies, starting with the ubiquitous Proportional-Integral-Derivative (PID) controller. You’ll learn how to construct PID algorithms in MATLAB/Simulink to achieve desired transient response characteristics. The course also addresses common implementation challenges and provides solutions, culminating in an integrated application exercise.
**Module 4: State Feedback Control Design**
The final module explores time-domain control design with state feedback controllers. It begins by explaining the concept of controllability, a prerequisite for this type of control. Once verified, you’ll learn to place closed-loop system poles to meet performance specifications. For single-input, single-output (SISO) systems, the course covers the application of Ackermann’s formula. The module concludes with an integrated exercise using an inverted pendulum on a cart system.
**Recommendation:**
“Introducción al análisis de sistemas de control con MATLAB” is an excellent course for anyone looking to understand the fundamentals of control systems and gain practical experience with MATLAB and Simulink. The clear explanations, hands-on exercises, and well-structured modules make it accessible for students with a basic understanding of calculus and linear algebra. Whether you’re a student in engineering, a professional seeking to enhance your skills, or simply curious about how the world around us is controlled, this course is highly recommended.
Enroll Course: https://www.coursera.org/learn/introduccion-al-analisis-de-sistemas-de-control-con-matlab