Wind Energy Systems

Dr. Mario Garcia-Sanz is Professor at Case Western Reserve University (CWRU), Ohio, the Milton and Tamar Maltz Professor in Energy Innovation, and Director of the Wind Energy and Control Systems Center at CWRU. As Senior Advisor for the President of the M.Torres Group and Professor at the Public University of Navarra, he played a central role in the design and field experimentation of advanced multi-megawatt wind turbines for industry. Dr. Garcia-Sanz held visiting professorships at the Control Systems Centre, UMIST (UK, 1995); at Oxford University (UK, 1996); at the Jet Propulsion Laboratory NASA-JPL (California, 2004); and at the European Space Agency ESA-ESTEC (The Netherlands, 2008). He holds 20 industrial patents, has done more than 40 large research projects for industry and space agencies, and is author or coauthor of more than 150 research papers, including the booksQuantitative Feedback Theory: Theory and Applications Taylor & Francis (2006), andWind Energy Systems: Control Engineering Design Taylor & Francis (2012). Dr. Garcia-Sanz is Subject Editor of the International Journal of Robust and Nonlinear Control, a member of IFAC and IEEE Technical Committees, and served as NATO/RTO Lecture Series Director and as Guest Editor of international journals (Robust control, QFT control, Wind turbine control, Spacecraft control). He was awarded the IEE Heaviside Prize (UK) in 1995 and the BBVA research award (Spain) in 2001. Professor Garcia-Sanz's main research interest focuses on bridging the gap between advanced control theory and applications, with special emphasis in Energy Innovation, Wind Energy, Space, Environmental and Industrial Applications.

Garcia-Sanz and Houpis, who both have extensive expertise in major projects in North America and Europe, describe the latest science and technology in wind turbines ... . The text includes a link to a free download for the CAD tool they utilize ... -SciTech News, Vol. 66, September 2012

• IntroductionPart I: Advanced Robust Control Techniques: QFT and Nonlinear SwitchingIntroduction to QFT. MISO Analog QFT Control System. Discrete Quantitative Feedback Technique. Diagonal MIMO QFT. Non-Diagonal MIMO QFT. QFT for Distributed Parameter Systems. Nonlinear Switching Control Techniques. Part II: Wind Turbine ControlIntroduction to Wind Energy Systems. Standards and Certification for Wind Turbines. Wind Turbine Control Objectives and Strategies. Aerodynamics and Mechanical Modeling of Wind Turbines. Electrical Modeling of Wind Turbines. Advanced Pitch Control System Design. Experimental Results with the Direct-Drive Wind Turbine TWT-1.65. Blades Manufacturing: MIMO QFT Control for Industrial Furnaces. Smart Wind Turbine Blades. Offshore Wind Energy: Overview. Airborne Wind Energy Systems. Appendices. Problems. Answers to Selected Problems. References.