CoDyPower LLC

QFT Control Toolbox for Matlab (Courses for industry)

Course on Robust Control Engineering and the QFT Control Toolbox
to design quantitative robust control systems

The Quantitative Feedback Theory or QFT provides one of the most practical robust control design methods available for applied projects. This intensive course presents the fundamentals of the QFT robust control methodology and its application to a collection of real-world cases. It follows Prof. Garcia-Sanz's new book Robust Control Engineering: Practical QFT Solutions, CRC Press (2017), and uses the QFT Control Toolbox for Matlab. The course offers:

1.- The fundamentals of the QFT robust control technique for a number of real-world control problems, including plants with large model uncertainty, high-performance specifications, multi-objective cases, nonlinear controller options, and multi-input multi-output plants.

2.- A collection of detailed real-world case studies, including satellites with flexible appendages, multi-megawatt variable-speed wind turbines, wastewater treatment plants, large radio telescopes, DC motors and airplane flight control systems.

3.- The Matlab code of the algorithms and calculations used in the resolution of the main examples presented in the course.

4.- The use of the QFT control toolbox for Matlab to (1) deal with plants with model uncertainty, (2) work with multi-objective performance specifications, (3) keep the engineering understanding of the design in the frequency domain, and (4) give solutions from simple PID regulators to more advanced control strategies when necessary.

5.- The material presented in this course has been extensively classroom-tested in undergraduate and graduate courses at universities worldwide, as well as in special control courses for industry. The course has received many teaching awards and excellent evaluations over the years.
- The course can be customized according to the client needs.
- For more information, please send email to

This is an ideal course for engineers and researchers interested on the design of reliable control solutions for industrial applications.

Desired prerequisite knowledge:
The course starts where a typical undergraduate control course ends. This means that the audience is familiar with the fundamentals of control, including Laplace transforms, Bode diagrams, root locus, stability, PID controllers and elementary state-space theory.

Expected learning outcomes:
This course offers practical QFT methodologies to design reliable control systems, bridging the gap between successfully tested theory and real-world control systems implementation.

Example of potential agenda (1.5 days)
Day 1. (8 hours)
09.00 - Fundamentals of QFT robust control. Case study: DC motor servo system.
10.30 - Coffee break.
10.45 - The QFT control toolbox for Matlab. Case study: Airplane flight control system.
11.45 - Advanced case study: QFT robust control for a satellite with flexible appendages.
12.30 - Lunch.
13.30 - Nonlinear dynamic control: One nonlinearity. Case study: PID control with saturation.
14.15 - Nonlinear dynamic control: Several nonlinearities. Case study: Radio telescope control.
15.15 - Coffee break.
15.30 - Advanced case study: Wind turbine pitch control: from modeling to control synthesis.
17.00 - Close.

Day 2. (4 hours)
09.00 - Multi-input multi-output QFT. Case study: A 22 heat-exchanger control system.
10.15 - Coffee break.
10.30 - Advanced case studies: (a) 22 Water treatment plant, (b) 66 spacecraft-telescope.
11.30 - Hands-on controller design with the QFT Control Toolbox. Case study: a vehicle active suspension system.
13.00 - Close.

Located in Ohio, CoDyPower is a Control, Dynamics and Power engineering company. © Copyright CoDyPower LLC, Ohio 44022, U.S.A.