Prof. Mario Garcia-Sanz's courses

Original Material for Courses

Helicopter control competition at CESC


Mario Garcia-Sanz, Constantine H. Houpis, "Wind Energy Systems: Control Engineering Design". CRC Press, Taylor & Francis. Boca Raton, Florida, USA, 2012. ISBN: 978-1-4398-2179-4.

Best-selling book!!!! @ CRC Press (click here)


Mario Garcia-Sanz, "The QFT Control Toolbox (QFTCT) for Matlab".


Mario Garcia-Sanz, "Robust Control Engineering: practical QFT solutions". CRC Press, Taylor & Francis. Boca Raton, Florida, USA, 2017. ISBN: 978-1-138-03207-1.


Wind Tunnel, Control & Energy Systems Center

Control Engineering I with Laboratory 

Spring Semester. 3c + 1c. Offered as EECS-304 + optional extension with EECS-305

Professor: Mario Garcia-Sanz

Description: This course develops the principal concepts of feedback and control systems theory, including dynamics modeling, block diagrams, linearization of nonlinear systems, simulation, and analysis and synthesis of controllers in the frequency and time domains. It introduces classical design methods as root locus, bode diagrams, nyquist plots and PID/lead/lag/lead-lag controller design. The course provides a simultaneous development of control theory and lab sessions with computer-aided design using Matlab and Simulink. The course also includes an experimental lab competition, where the object is to design, implement, and experimentally validate a control strategy to regulate a real system in the laboratory (helicopter control competition or similar).

Outline:

- System dynamic modeling, block diagrams, linearization techniques, analysis.

- Time domain: system analysis and controller design using Root-locus techniques.

- Frequency domain: system analysis and controller design using Bode diagrams and Nyquist plots.

- Lab sessions with computer-aided design using Matlab and Simulink.

- Experimental controller design lab competition with implementation and experimental validation in a real system

Lab-scale helicopter control competition (click here)


Advanced Control & Energy Systems

Fall Semester. 3c. Offered as EECS-474 and EECS-374

Professor: Mario Garcia-Sanz

Description: The first part of this course introduces the main concepts of the QFT robust control methodology. The theory is presented in such a manner that students and practicing engineers can readily grasp the fundamentals and appreciate its transparency to work with real world applications. The course includes lab sessions with our QFT Control Toolbox (QFTCT) for Matlab. The second part of the course deals with wind energy systems. Wind turbines are complex systems with large flexible aerodynamic and mechanical structures working under very turbulent and unpredictable environmental conditions and subject to a variable and demanding electrical grid. The efficiency and reliability of a wind energy system and the quality of its grid integration strongly depend on the applied control strategy. The course analyzes existing industrial solutions and applies QFT robust and switching control techniques to design and control wind energy systems. The course is based on our bestseller book "Wind Energy Systems: Control Engineering Design", CRC Press.

Outline:

- Advanced Robust Control Techniques: QFT & Nonlinear-switching (theory sessions)

- QFT Control Design CAD Toolbox for MATLAB (lab sessions)

- Wind Turbines Design and Control (theory sessions and analysis of real cases)

- Bridging the gap between theory and practice (lab sessions)

Lab wind turbine design competition (click here)


Applied Control 

Fall Semester. 3c. Offered as EECS-475 and EECS-375

Professor: Mario Garcia-Sanz

Description: This course provides a practical treatment of the study of control engineering systems. It emphasizes best practices in industry so that students learn what aspects of plant and control system design are critical. The course develops theory and practice for digital computer control systems; PID controller design (modes, forms and tuning methods); Control structure design (feedforward control, cascade control, predictive control, asymmetric topologies, multi-loop configurations, multivariable control); Actuators, sensors and common loops; Dynamic performance evaluation; and some advanced control techniques (quantitative robust control, gain-scheduling and adaptive control) to achieve a good performance over a range of operating conditions.The course is based on our new book "Robust Control Engineering: practical QFT solutions", CRC Press.

Outline:

- Dynamics modeling, Control specifications, Control limitations, Common industrial loops

- PID control: structures, tuning, practical solutions, robust design, industrial implementation

- Digital computer control systems: design and practical applications

- Control structures: Feedforward and Cascade control solutions

- Asymmetric control topologies for systems with different number of sensors and actuators

- Time-delay systems and Predictive control solutions

- Advanced robust control techniques

Micro-grids control competition (click here)

 

 


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