Model-based Nonlinear Control of Aeroengines

Jiqiang Wang is Associate Professor of Systems Control at Nanjing University of Aeronautics and Astronautics. He obtained his Ph.D. from Sheffield University, UK, in 2009. His research interests are in the general area of complex systems modelling, control and health management, with particular application to active control and energy harvesting, smart structures and turbine power systems. Specifically, he developed systematically a geometric design methodology for active control and energy harvesting towards performance limit; he initiated and proposed model-based nonlinear control of gas turbine power systems. He has been involved around 30 research projects from various sources as PIs & Co-PIs. He has published over 100 papers in international journals and conferences, with 8 filed patents and further 16 patents in review.  He is Sectary to Society of Artificial Intelligence Simulation Technology, Chinese Simulation Federation; Committee Member of Society of Intelligent Aerospace Systems, Chinese Association for Artificial Intelligence; Committee Member of Centre for Innovation in Aerospace Technology, NUAA Society for Science and Technology. Weicun Zhang is Associate Professor at the School of Automation and Electrical Engineering, University of Science and Technology Beijing. He obtained his Ph.D. degree in Control Theory and Applications from Tsinghua University in 1993. His research interest covers adaptive control, multiple model adaptive control, intelligent control, their applications, etc.Zhongzhi Hu is Professor at the Institute of Aeroengine Research, Tsinghua University. He obtained his Ph.D. degree in Control Theory from British Columbia University, Canada, in 1996. His research interest covers airworthiness certification, intelligent aeroengine control and aeroengine health management systems.

• Introduction to Aeroengine Controls.- Aeroengine Nonlinear Modeling.- Model-based Aeroengine Nonlinear Set Point Control.- Model-based Aeroengine Nonlinear Transient Control.- Optimization-based Aeroengine Nonlinear Control Integration.- Conclusions & Further Development.