Stability and Performance Analysis of Turbine Engines under Fiber Optic Networked Distributed Control Architecture

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-08-C-0052
Agency Tracking Number: F08A-026-0069
Amount: $99,855.00
Phase: Phase I
Program: STTR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: AF08-T026
Solicitation Number: 2008.A
Small Business Information
INTELLIGENT FIBER OPTIC SYSTEMS CORP.
2363 Calle Del Mundo, Santa Clara, CA, 95054
DUNS: 877452664
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Behzad Moslehi
 CEO/CTO
 (408) 565-9004
 bm@ifos.com
Business Contact
 Behzad Moslehi
Title: CEO/CTO
Phone: (408) 565-9000
Email: bm@ifos.com
Research Institution
 THE OHIO STATE UNIV.
 Rama K Yahavalli
 2036 Neil Avenue
Columbus, OH, 43210
 (614) 292-3983
 Nonprofit college or university
Abstract
Gas Turbine Engine Control is one of the most complex tasks ever attempted. Currently, a centralized architecture system, labeled, Full Authority Digital Engine Control (FADEC) is being widely used. However, new engine performance technologies started to increase the burden of FADEC. This has necessitated the beginning of a new phase of engine control development, Distributed Engine Control system (DEC). The advantages of DEC such as modularity, maintenance management, and fault detection have been well established in the engine control community. One of the major challenges in implementation of DEC is selection of communication architecture and functional partitioning of centralized controller. In this research proposal, IFOS and Ohio State University propose a methodology that improves the stability and performance of the overall propulsion system under various communication constraints. In this direction, we propose initially to make use of off-the-shelf network architecture. In Phase I, we address the issues of packet dropouts, time delay and bandwidth constraints in the Networked Control Systems (NCS) and their impact on stability and performance of turbine engine. We propose a decentralized framework consisting of a two level controller. Using this approach, improved encoders and decoders will be designed to maintain system stability under these communication constraints.

* information listed above is at the time of submission.

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