Computer Aided Control Systems Design:Control System Toolbox

Mathworks Control System Toolbox for the Practical Control Design Engineer, Model-Based Design of Control Systems

What you'll learn
At the end of the course, students will be able to analyze and control dynamic systems without the extensive and theoritical control theory by hand calculation
At the end of the course, students will master the Control System Toolbox main functions for design and analysis of Control Systems
At the end of the course, students will be able to design DC machine speed-current cascade control (the basis of field-oriented control of ac machines)
At the end of the course, students will be able to design DC machine sensorless speed control (Luenberger observer,disturbance observer)
At the end of the course, students will be able to design state observer and LQR state controller (modern control theory)
At the end of the course, students will be able to create LQG-optimized state controller with Kalman filter
Control System Toolbox simplifies the complex calculations and methods for the design and analysis of dynamic modern systems

Requirements
Tool: Control System Toolbox included in (MATLAB and Simulink Student Suite or free 30-day trial)
Basic knowledge in Matlab Simulink, C or other programming language
Basic knowledge in Kirchhoff's and Newton's Laws
Basic knowledge in differential Equations, Laplace Transform and high school mathematics: Matrices and vectors
Description
The Mathworks Control System Toolbox, is an important and extremely helpful tool for control engineers and system designer. With its help all steps of the control engineering investigation of a system can be carried out.

The course is suitable for those who want to acquire the individual steps from setting up the control loops in matlab simulink to calculating the controller coefficients and designing the required state observers by using matlab simulink.

In this course, we will deepen the electromechanical system dc machine speed control (the basis for the field-oriented control of ac machines), to show the steps from setting up the control loop in simulink, to calculating the controller coefficients, and designing the required state observers.

In this course you will get a detailed description of the capabilities of the Control System Toolbox. This important topic includes all steps from the representation of linear time-invariant systems, through their manipulation and analysis, to controller design.

In this course a complete controller design is carried out with subsequent simulink simulations for a DC shunt machine, whereby the interaction between the Control System Toolbox and Simulink is demonstrated.

For advanced course participants state controllers with state observers are also considered in a practical way.

As an advanced extra chapter, we will design an LQ-optimized state controller using Kalman filter estimated state variables. A linear-quadratic optimal control is used as optimization method.

Numerous practical examples and tasks help you to practise and deepen the whole topic.

You will also get all matlab and simulink files. So welcome to the course: Computer-Aided Control Systems Design:Control System Toolbox (Control System Design Advanced Methods, by using Matlab, Control System Toolbox and Simulink).

Who this course is for
Students of Electrical & Computer Engineering & Mechanical & Aerospace Engineering
Control systems designer, dynamics systems designer
Engineering students, who want to acquire the individual steps from setting up the control loops in Simulink to calculating the controller coefficients and designing the required state observers by using matlab simulink
Control Engineering enthusiasts, who do not want to do the complex control theory calculations manually but with the help of the Control System Toolbox.