Intelligent Turbine Engine
Abstract
This study investigated technologies needed for the development of advanced turbine engines (TE) control systems that could improve TE performance and safety and reduce ownership cost. Since such control systems generally consist of one or more sensors, a control system and one or more actuators, this program investigated novel approaches for improved sensing, control and actuation in TE combustors and compressors. A multidisciplinary team of faculty from the school of Aerospace, Electrical and Computer and Mechanical engineering performed this study. Notable accomplishments of this program include: high temperature, wireless MEMS sensors, optical approaches for real time monitoring of combustor efficiency and pattern factor, 3, a 'smart' fuel injector for controlling combustor performance, a synthetic jet actuator for improved combustor mixing processes and pattern factor, nonlinear robust and adaptive controllers for combustion and compression systems, a Neural Network Chip for controlling combustion instabilities, LES and CFD for modeling unsteady combustor and compressor flows, respectively, and active control approaches for unstable compressors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 31, 2002
- Accession Number
- ADA412511
Entities
People
- A. Glezer
- Ben T. Zinn
- M. Brooke
- Monica Allen
- Wassim M. Haddad
Organizations
- Georgia Tech