Aerospace Power Scholarly Research

Posted by on Oct 24, 2009 in Aircraft, Contracts, Distributed Heterogeneous Simulation, Paul Krause, Power Systems, Propulsion, SBIR Phase III | 0 comments

Type of Award: SBIR Phase III, CPFF, Level of Effort (LOE)/Delivery Order (DO) Contract Number: F33615-99-D-2974 Lead-In Phase II: F33615-99-C-2911 Awards: DO 001: Modeling and Simulation Baseline, 9/20/99 DO 002: Simulation of Control Challenge Problem – Electric Power Networks Efficiency and Security (EPNES) Initiative, 8/12/02 DO 003: Aircraft Engine and Subsystem Modeling, 2/28/03 DO 004: Subsystems Design and Analysis, 10/21/02 DO 005: Distributed Heterogeneous Simulation of a UAV DO 006: Propulsion and Power Simulation, 9/30/03 DO 007: Distributed Heterogeneous Simulation Using EASY 5 for UNIX Operating System, 11/25/03 Total Funding to Subcontractors: Rolls-Royce and Northrop Grumman Agencies: U.S. Air Force Research Laboratory Status: Completed Period: 9/20/99 to 3/14/05 Principal Investigator: Paul Krause Brief Description and Purpose: In the mid to late 1990’s, PC Krause and Associates (PCKA), Purdue University, the University of Missouri-Rolla (UMR), and the University of Wisconsin-Milwaukee (UWM) had been extensively involved, as a group, in research, analysis, simulation, and design of power-electronic based systems for government agencies (Navy, Air Force, NASA, and the Army) interested in the more-electric initiative program. This group, of which PCKA was the small business arm, evolved naturally from a need to combine expertise in order to conduct the required work which has involved a large spectrum of power/drive systems ranging from spacecraft to tactical vehicles. The commonalities that exist between these many systems in configuration and components became very apparent. This sole-source contract was the first effort by the Air Force to encourage interagency interaction in sharing the results of the research and engineering projects common to aircraft power systems and to provide a convenient funding vehicle to encourage shared funding, among these agencies, for projects of mutual interest. DO 001 Reports: The Final Report contains a listing of 80 ACSL computer models that were done for DOD up to 9/18/00 DO 002 Reports: “Power System Control Development (ONR IPS Testbed Simulink Models and Documentation)”, 3/15/03 DO 003 Reports: “Subsystems Design and Analysis: Aircraft Engine and Subsystem Modeling”, 1/30/04 “Global Hawk Power System Simulation (Rolls-Royce Software)” 7/3/03 DO 004 Reports: “Integrated Propulsion and Power System Modeling, Simulation and Analysis (IPPoSMo)”, (Northrop Grumman), 8/29/03 “Integrated Propulsion and Power System Modeling, Simulation and Analysis (IPPoSMo)”, Final Report, (PCKA and Northrop Grumman), 1/30/04 DO 005 Reports: “Distributed Heterogeneous Simulation of a UAV Power System”1/14/05 DO 006 Reports: “Propulsion and Power Simulation (Scramjet Propulsion)”, 11/15/04 DO 007 Reports: “Distributed Heterogeneous Simulation Using EASY 5 for UNIX Operating System”,...

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Multi-Level Heterogeneous Modeling

Posted by on Oct 24, 2009 in Contracts, Distributed Heterogeneous Simulation, Eric A. Walters, Power Systems, SBIR Phase III | 0 comments

Type of Award: SBIR Phase III, IDIQ, CPFF, Level of Effort (LOE)/Delivery Order (DO) Contract Number: FA8650-04-D-2409 Lead-In Phase II: F33615-99-C-2911 Awards: DO 001: Security of Large Scale Systems I, PI: E. A. Walters, Period: 2/24/04 to 5/8/06 DO 002: Research in Advanced Power Systems, PI: E. A. Walters, Period: 9/27/04 to 1/26/06 DO 003: Security of Large Scale Systems II, PI: E. A. Walters DO 004: Research in Advanced Integrated Aircraft Systems, PI: E. A. Walters and T. Baudendistel, Period; 5/11/06 to 6/10/11 DO 005: Multi-Level Heterogeneous Modeling, PI: E. A. Walters, Period: 7/13/06 to 10/12/09 DO 006: Evaluation of Advanced Integrated Systems I, PI: E. A. Walters and J. R. Wells DO 007: Bi-Directional Power Architectures for More Electric Aircraft, PI: J. R. Wells, Period: 1/31/07 to 10/15/09 TO 008: Propulsion and Power Integration, PI: E. A. Walters and J. R. Wells, Period: 12/21/06 to 1/15/09 TO 009: Virtual System Integration Laboratory (VSIL), PI: E. A. Walters and J. R. Wells, Period: 10/4/07 to 10/5/09 TO 010: Arc Fault Modeling of an H-60 Generator, PI: B. P. Loop, Period: 7/2/08 to 3/2/09 TO 011: Evaluation of Advanced Integrated Systems II, PI: J. R. Wells, Period: 10/11/08 to 1/10/11 TO 012: Integrated Vehicle & Energy Technology (INVENT) Subsystems Development and Demonstration (SDD), PI: E. A. Walters, Period: 2/17/09 to 6/23/11 Total Funding to Subcontractors: Purdue, Wright State, Lockheed Martin, Northrop Grumman, Radiant, and Rolls-Royce Agencies: U.S. Air Force Research Laboratory Status: On Going Period: 2/24/04 to 2/24/14 Principal Investigator: E. A. Walters Brief Description and Purpose:...

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Multi-Level Heterogeneous Modeling of F22 Power Subsystem

Posted by on Oct 24, 2009 in Aircraft, Contracts, Distributed Heterogeneous Simulation, Eric A. Walters, Power Systems, SBIR Phase I, SBIR Phase II | 0 comments

Type of Awards: SBIR Phase I and Phase II with Enhancements:  (1) Inclusion of Easy 5 and Optimal Model Partitioning and Allocation and (2) Power and Cooling Turbo-Generator Contract Numbers: F33615-98-C-2849, and F33615-99-C-2911 Agency: U.S. Air Force Research Laboratory Status: Completed Periods: 5/3/98 to 11/3/98 and3/12/99 to 1/19/05 Principal Investigators: Brian Kuhn / E. A. Walters Phase III: Aerospace Power Scholarly Research Program; F33615-99-D-2974 Abstract: Techniques developed in Phase I allow, for the first time, the interconnection of any number of ACSL simulations implemented in conventional or dedicated computer networks.  It appears that the same techniques may be used to parallel not only ACSL simulations but any combination of ACSL, Saber, and/or Matlab/Simulink models.  The development of this distributed computing concept in Phase II will provide a marked increase in computation speed and a means of simulating large power-electronic based systems.  Moreover, this will allow vendors to interconnection component simulations into a “public domain” system without sharing proprietary information.  For example, vendors could simulate their component in any of the above mentioned languages and interconnect their simulation to a system model that would include, for example, sources, distribution network, loads, and associated controls that collectively comprise the core of the selected power system architecture.  Virtual prototyping has suffered from the rightful desire of vendors to maintain their competitive edge.  The concept proposed herein eliminates this proprietary problem and, for the first time, provides a workable prototyping environment.  The Phase II goal is to develop an efficient distributed computer simulation of a F22-like power system and to demonstrate this new prototyping environment through an Industry...

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Multi-Level Heterogeneous Modeling of the Advanced Amphibious Assault Vehicle (AAAV)

Posted by on Oct 24, 2009 in Contracts, Distributed Heterogeneous Simulation, Eric A. Walters, Power Systems, SBIR Phase I, SBIR Phase II, Terrestrial Vehicles | 0 comments

Type of Award: STTR Phase I and Phase II with Funded Enhancement Subcontractors: Purdue Contract Numbers: M67004-99-C-0044 and M67854-00-C-3047 Agency: U.S. Marine Corp Status: Completed Periods: 7/13/99 to 6/13/00 and 5/23/00 to 8/31/03 Principal Investigator: E. A. Walters Abstract: The primary objective of the Phase I effort was to determine the feasibility of a heterogeneous modeling environment for the Advanced Amphibious Assault Vehicle (AAAV). This has been clearly established. In particular, a method of connecting any number of independent time-domain simulations has been developed and used to demonstrate a detailed heterogeneous computer simulation of the salient components of the AAAV electric power system. The primary objective of the Phase II effort is to establish a flexible and powerful distributed modeling and analysis environment for the AAAV electrical power system that can be used to evaluate design alternatives, predict performance characteristics during normal and abnormal (e.g. battle damage) conditions, and serve as a simulation testbed for future design modifications. This facility will reduce engineering and development costs, identify optimum design choices, and avoid unanticipated problems during development and fielding of the AAAV, thereby increasing affordability over its life cycle. Specific tasks to be performed include: the development and validation of a detailed heterogeneous end-to-end simulation of the AAAV electric power system, the development of a multi-level visualization and control interface, the investigation of high-speed computational clusters to improve the computational speed, and the investigation of multi- and parallel rate integration...

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Design, Analysis and Optimization Environment for Directed Energy Systems

Posted by on Oct 24, 2009 in Contracts, Directed Energy Weapon, Distributed Heterogeneous Optimization, Distributed Heterogeneous Simulation, Power Systems, SBIR Phase I, SBIR Phase II | 0 comments

Type of Awards: SBIR Phase I with IEDC and Phase II Contract Numbers: FA9451-07-M-0082 and FA9451-08-C-0058 Agency: U.S. Air Force Research Laboratory Status: On Going Periods: 3/14/07 to 3/03/08 and 3/12/08 to 3/02/11 Principal Investigator: B. P. Loop Abstract: The primary objective of the proposed work is to develop a directed energy system analysis and design environment.  This analysis and design environment will be based upon Distributed Heterogeneous Simulation (DHS) and Distributed Heterogeneous Optimization (DHO) technology.  DHS allows the interconnection of models developed in different simulation languages running on different computing platforms to form an integrated system simulation.  DHO is a distributed multi-objective optimization environment tailored for system design.  The Phase II effort will focus on creating directed energy component model library, developing a system model translator, and incorporating high-power microwave device models into a simulation of the electric power system.  The capabilities of the proposed design environment will be demonstrated, and effort toward the transition of the tool to government and industry will be carried out.  PCKA will collaborate with Lockheed Martin and the Directed Energy Directorate of the Air Force Research Laboratory to identify directed energy applications of...

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Tools for Prognostics and Health-Monitoring of Aircraft Power Systems

Posted by on Oct 22, 2009 in Distributed Heterogeneous Simulation, Eric A. Walters, Generator, Prognostics and Health Management, Publications, Tommy Baudendistel | 0 comments

T. Baudendistel, PC Krause and Associates, Inc; Steve Pekarek, Mario Rotea, Purdue University; E. A. Walters, PC Krause and Associates, Inc; Steve Peecher, Smiths Aerospace; Sean A. Field, Nathan E. Kumbar, Naval Air Systems Command In this presentation, a cadre of recently developed hardware and software tools for the prognostics and health-monitoring of electric generators, motors, power electronic components, and electric power systems will be presented. One of the tools is a vibration sensor that is low cost, durable, and relatively straightforward to implement in a drive system or power electronic module. This sensor has been used to detect torque-ripple-induced vibration created by electric machines. It provides a convenient means to detect faults of both electrical and mechanical components of electric drive systems and also facilitates feedback-based control to mitigate the vibration source through control of the excitation to a machine. In addition to providing vibration feedback, it has also been shown to be effective as a back-up position sensor. Specifically, in applications where fault tolerance is critical, the sensor has been used to determine the position of the rotor of the machine when in-line or Hall-effect sensors fail. A second tool is a thermal-based health monitor for electric machines that effectively predicts the thermal behavior of stator, rotor, and winding structures based upon input from a minimal number of thermocouples and stator current sensors. This observer has been tested on a 3.7 kW generator and is presently being used to evaluate the short- and long-term effects of pulsed loading of electric machines. A third tool is a method of Distributed Heterogeneous Simulation (DHS) that provides a means to simulate the healthy and faulted behavior of large-scale systems at a speed and level of detail heretofore unachievable. Specifically, DHS enables the synchronized interconnection of any number of dynamic subsystem simulations, developed using any combination of a variety of programs/languages, and implemented on a single computer/workstation/supercomputer, a local area network (Intranet), a distributed, and any combination thereof. Theoretically, using an M-computer network, DHS can approach an 3M gain in computational speed over single computer, single numerical algorithm implementation. It is shown that through coupling of these three tools, a comprehensive prognostic and health management system (PHM) for aircraft generators and associated electrical systems can be developed. Specifically, using DHS, component and system-level simulations of aircraft generator systems under nominal and failure modes can be performed efficiently. Using the simulation results obtained, the vibration sensor and thermal-condition monitor concepts are coupled to establish a multi-physics approach that can effectively detect component degradation and predict time-to-failure, and to develop feedback-based strategies for operation of generator electrical systems under component degradation or failure. Hence, maintaining the warfighting capabilities by extending the life of the generator electrical system. 2007 ISHM Conference, August 2007. Contact information:...

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