Mathworks Control System Toolbox for the Practical Control Design Engineer, Model-Based Design of Control Systems
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.
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.
Course Content
- Welcome to the course! –> 1 lecture • 6min.
- Control engineering functions: Modeling using Control System Toolbox –> 5 lectures • 38min.
- Analysis of LTI models: the behaviour of a system –> 5 lectures • 32min.
- Controller design using the Control System Designer app –> 2 lectures • 21min.
- MOTOR CONTROL SYSTEM: CONTROLLER DESIGN Strategies and Simulation –> 8 lectures • 1hr 8min.
- Introduction to Robust Control Systems Design –> 2 lectures • 17min.
Requirements
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).