|
|
Control Systems
| Control Tutorials for MATLAB (Undergraduate 2nd year) |
|
|
These tutorials are designed to illustrate how to use MATLAB and Simulink for the analysis and design of automatic control systems. They cover the basics of MATLAB and Simulink, the most common classical control design techniques (PID, root locus, and frequency response), as well as some modern (state-space) control design. The Control Systems Toolbox is used extensively in these tutorials.
Course Level:
Senior undergraduate
Graduate
Type of content:
MATLAB Primer/Tutorial
Simulink Primer/Tutorial
Prerequisite(s) / Target Audience:
Students who need to learn or brush up on Matlab/Simulink.
MathWorks Toolboxes or Blocksets used:
Control Systems toolbox and Simulink
Professor Name: Bill Messner (CMU) & Dawn Tilbury (UofM)
Department: Mechanical Engineering
University: Carnegie Mellon and University of Michigan
Submitted: Mar 11, 2008
|
| Introduction to Matlab – Simulink & their Applications in Control Systems |
|
| Description: |
This tutorial presents the basic features of Simulink and is focused on control systems. |
| Target audience: |
Advanced undergraduate (3rd or 4th year) |
| Institution: |
Texas A&M University |
| Materials available: |
Primers or tutorials |
| Products: |
MATLAB, Simulink |
Submitted: Jul 30, 2008
|
| Feedback Control Systems |
|
| Description: |
Develop fundamentals associated with the analysis, design and simulation of automatic control systems.
Prerequisite knowledge and/or skills:
Linear differential equations with constant coefficients.
Laplace transforms and transfer functions for linear systems.
Elementary matrix manipulations (such as determinant and inverse).
Adequate familiarity with computers and use of various packages; the specific package used in this course is Matlab/Simulink.
Textbook(s) and/or other required material:
Automatic Control Systems, by Benjamin C. Kuo and Farid Golnaraghi (ISBN# 04711347 67), Prentice-Hall. |
| Target audience: |
Introductory undergraduate (1st or 2nd year) |
| Academic institution: |
University of Wisconsin-Madison |
| Materials available: |
Course outline/syllabus |
| Products: |
MATLAB,Simulink |
Submitted: Jun 26, 2008
|
| Feedback Control Experiments - Experiments for feedback control education and research |
|
Quanser Consulting, Inc., offers a complete line of feedback control experiments. The systems are robust, durable, and modular thus allowing you to reconfigure the same plant to obtain various experiments. Our experiments include the Inverted Pendulum, the Ball and Beam, the Seesaw/Pendulum MIMO experiment, and the Helicopter. All systems are equipped with quick-connect cabling, source code in C, handbooks, system modeling, and control system design files written in Maple, MATLAB, and Simulink. Capture your students' interest while teaching them well-established principles or give your research project an edge by implementing the new control strategies you are developing.
Submitted: Mar 13, 2008
|
| Design Methods for Control Systems |
|
| Description: |
The aim of this course is to present an overview of several important design techniques for linear control systems. Topics covered include: feedback control theory; classical and multivariable control system design; uncertainty models and robustness; and H-Optimization and m-synthesis.
Course material created by Maarten Steinbuch, Gjerrit Meinsma, Okko H. Bosgra, and Huibert Kwakernaak. |
| Target audience: |
Graduate |
| Institution: |
Dutch Institute of Systems and Control |
| Materials available: |
Problem sets or projects, Course outline or syllabus |
| Products: |
MATLAB,Control System Toolbox,Robust Control Toolbox |
Submitted: Jul 30, 2008
|
| Multivariable Control Systems |
|
| Description: |
This course uses computer-aided design methodologies for synthesis of multivariable feedback control systems. Topics covered include: performance and robustness trade-offs; model-based compensators; Q-parameterization; ill-posed optimization problems; dynamic augmentation; linear-quadratic optimization of controllers; H-infinity controller design; Mu-synthesis; model and compensator simplification; and nonlinear effects. The assignments for the course comprise of computer-aided (MATLAB®) design problems. Course material created by Professor Alexandre Megretski |
| Target audience: |
|
| Academic institution: |
|
| Materials available: |
|
| Products: |
|
Submitted: Jul 16, 2008
|
| Structure and Interpretation of Systems and Signals |
|
| Description: |
Topics covered in this course include: mathematical modeling of signals and systems; continuous and discrete signals, with applications to audio, images, video, communications, and control; state-based models, beginning with automata and evolving to LTI systems; and frequency domain models for signals and frequency response for systems, and sampling of continuous-time signals. A MATLAB-based laboratory is an integral part of the course.
Course material created by Professor Babak Ayazifar. |
| Target audience: |
Advanced undergraduate (3rd or 4th year) |
| Institution: |
UC Berkeley |
| Materials available: |
Videos |
| Products: |
MATLAB |
Submitted: Jul 22, 2008
|
| PPR toolbox |
|
PPR (robust poles placement) is a set of Matlab functions for the design of digital controllers.
Submitted: Sep 17, 2008
|
|
|
