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Siegal Lifelong Learning

Applied Control Engineering

Applied Control Engineering

Dr. Garcia-Sanz has designed and implemented many advanced and commercial control systems for industry and space agencies. Customers include NASA-JPL, ESA-ESTEC, US AFIT, NRAO-GBT, GMRT, Gamesa, Acciona, MTorres, IngeTeam, CENER, Eaton Corporation, Enercon, Siemens, Iberdrola, Sener and others. Dr. Garcia-Sanz has over 20 industrial patents, 200 research papers and 25 years of experience in the field. He has been NATO/RTO Lecture Series Director for Advanced Controls, and has given seminars and invited talks in over 20 countries, including the USA, UK, Sweden, Switzerland, Spain, Portugal, Italy, Germany, The Netherlands, Ireland, Romania, Israel, South Africa, etc. He has also been awarded as the Inaugural Milton and Tamar Maltz Professorship in Energy Innovation, the Diekhoff Teaching Award at CWRU, the IEE/IET Heaviside Prize in the UK and the BBVA/UPNA research award in Spain among others.

Mario Garcia-Sanz

Course description:

This two-day intensive course provides a practical treatment of the study of control engineering systems. It emphasizes best practices in industry so that participants 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, asymmetric topologies, multi-loop configurations); Dynamic performance evaluation; and some advanced control techniques (quantitative robust control, gain-scheduling) to design control solutions that achieve a good performance over a range of operating conditions.

Target Audience:

This course is especially useful to practicing engineers and technical staff interested on new advanced and practical methodologies to design commercial control solutions. It also provides an excellent introductory course in industrial control for those engineers or physicists who may not have had specific control theory teaching during their engineering education or need a refresher course in applied control.

Event venue:

Siegal Lifelong Learning, Landmark Centre, 25700 Science Park Drive, Beachwood, Ohio, 44122.

Date: Thursday and Friday, March 23rd and 24th, 2017.

Fee: $2,100 per delegate. REGISTER >

Instructor: Prof. Mario Garcia-Sanz, Dr.Eng., Director of the Control & Energy Systems Center (CESC) at Case Western Reserve University (CWRU).

 

Participants will:

  • Receive a copy of the bestselling book by Mario Garcia-Sanz and Constantine H. Houpis, "Wind Energy Systems: Control Engineering Design", CRC Press. ISBN: 978-1-4398-2179-4, 2012.
  • Download a copy of the robust control design toolbox by Mario Garcia-Sanz, "The QFT Control Toolbox (QFTCT) for Matlab", Student version, 2016.
  • Receive a copy of the course detailed presentation slides.
  • Enhance skillsets in Controls Engineering—controls are everywhere in technical problem solving.
  • Obtain CWRU Training Certificate in Advanced Control Engineering.

Agenda


Day 1. Design of Industrial Control Systems
09.00 Fundamentals of feedback control: concepts and computer tools
10.15 Coffee break
10.30 Dynamics modeling, Control specifications, Control limitations
11.15 PID Control: forms, filters, anti-wind-up, kick-off problems and solutions
12.15 Lunch
13.00 PID Control: tuning methods
13.45 Robust PID Control: a QFT robust control design
14.45 Coffee break
15.00 Case study: Design of PID controllers (Matlab, Simulink and QFT Control Toolbox)
17.00 Close


Day 2. Applied Control Solutions
09.00 Feedforward and Cascade control solutions
10.15 Coffee break
10.30 Asymmetric control for systems with different number of sensors and actuators
11.45 Special cases: Time delay plants, Non-minimum phase systems, Unstable systems
12.15 Lunch
13.00 Digital implementation of control systems: design and practical solutions
14.00 Practical approach to non-linear systems. Gain-scheduling solutions.
14.45 Coffee break
15.00 Case study: Design of advanced control systems (Matlab, Simulink and QFT Control Toolbox)
17.00 Close