Modeling and Control of Uncertain Systems with Applications to Air Force Problems
Abstract
This primary goal of this research program is investiation of novel approaches to robust-control-orientied system identification techniques and robust feedback control system design methods that solve typical Air Force problems. Theis goal has been accomplished successfully focusing on gap-metric, and a v-metic uncertain systems described by normalized coprime factors, and on rotating stall and surge contorl for axial flow compressors as application platform, that we demonstrated in the 9 journal publications, two book chapters and 14 conference papers, including those accepted for publication during the past three years. Several algorithms were-developed to identify the nominal model using frequency domain data with quantification of the unmodeled dynamics in Hx/Lx norm, that are shown to coverge in presence of th worst-case noise contaminated in experimental data. Control of gap-metric, and av-metric uncertain systems was studied in connection with multiplicative/relative perturbations in general coprime factors, and Hx loopshaping design method was generalized to Lx loopshaping that apply to those systems involving uncertainties in normalized coprime factors with bound Lx norm. Moreover an effective algorithm was developed for model reduciton of observer-based controllers. The PI has also strived to enhance the applicaiton part of this research program, and has spent two summers in Wright Laboratory at Wright-Patterson Air Force base, and at Eglin Air Force Base. In close collaborations with the control group in Wright Laboratory of the WPAFB (led by Dr. Siva Banda), application research in our program has focused on compressor control that are essential to the improvement of aeroengines and performance of jet airplanes.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1997
- Accession Number
- ADA332660
Entities
People
- Guoxiang Gu
Organizations
- Louisiana State University