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Course
Highlights
Comprehensive control design case studies demonstrate effective
techniques for improving efficiency in the use of MATLAB and
SIMULINK for modeling and simulation. The course includes
hands-on exercises with the Control System Toolbox and SIMULINK
Control Design, and shows how to linearize a model and develop
control laws using a variety of design methodologies.
Course
Objectives
The aim of the course is to provide general knowledge for
participants to use MATLAB and SIMULINK control system design
tools to accelerate the design process for closed-loop control
system.
Prerequisites
Attended "MATLAB for Technical Computing"
and "SIMULINK for Dynamic System
Modeling" or equivalent experience using MATLAB and
SIMULINK, and an understanding of terminology and concepts
related to common control systems.
Course
Outline
MATLAB
Review
Objective: Review components of MATLAB used in the course
• MATLAB fundamentals
• Data types
• Functions
Introducing the Control Design Process
Objective: Model a system using the control design process
• Exploring the control design process
• System modeling - an introduction
• Building system models
a. Examining existing systems
b. Adding real-world dependencies
Using LTI Objects
Objective: Use LTI objects to represent second-order systems
• Representing continuous and discrete systems
• Exploring second-order systems
• Using LTI objects in SIMULINK
• Discretizing systems
Identifying and Analyzing Systems
Objective: Use the System Identification Toolbox and SIMULINK
Parameter Estimation to identify systems and perform system
analysis including linearization
• Working with the LTI Viewer
• Using the System Identification Toolbox
• Using SIMULINK Parameter Estimation
• Using SIMULINK Control Design
Exploring Control Design
Objective: Use the Control System Toolbox to design controllers
• Exploring control design theory
• Examining uses of feedback
• Applying control design methods
a. Root locus
b. Frequency domain
• Using control design tools
a. SISO Design Tool
b. SIMULINK Control Design
c. SIMULINK Response Optimization
Applying Techniques in Design Projects
Objective: Use the control design process to model and
control a system
• Designing an aerospace system
• Designing a cruise control system
• Designing an engine process
Who
Must Attend
Engineer, researchers, scientists, and managers who are involved
in control engineering design and problem solving. It is also
strongly recommended for those who would like to establish
and strengthen their foundation in Control Engineering.
Course Benefits
Upon the
completion of the course, the participants will gain a comprehensive
understanding on utilizing the Control System Toolbox and
SIMULINK Control Design to design and develop control system
using a variety of design methodologies.
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