C. E. Lucas, E. A. Walters, J. Jatskevich, O. Wasynczuk, PC Krause and Associates, Inc; P. T. Lamm, U.S. Air Force Research Laboratory In this paper, a new technique useful for the numerical simulation of large-scale systems is presented. This approach enables the overall system simulation to be formed by the dynamic interconnection of the various interdependent simulations, each representing a specific component or subsystem such as electrical, mechanical, hydraulic, or thermal. Each simulation may be developed separately using possibly different commercial-off-the shelf simulation programs thereby allowing the most suitable language or tool to be used based on the design/analysis needs. For the purpose of demonstration, this technique is applied to a detailed simulation of a representative aircraft power system. This system is comprised of ten component models each developed using MATLAB/SimulinkTM, EASY5TM, or ACSLTM. When the ten component simulations were distributed across just four personal computers (PCs), a greater than 15-fold improvement in simulation speed (compared to the single-computer implementation) was achieved. 2002 SAE Power Systems Conference, October 29-31, 2002, Coral Spring, FL. Paper...
Read MoreReal-Time Distributed Simulation of DC Zonal Electrical Distribution System
J. Jatskevich, C. E. Lucas, E. A. Walters, O. Wasynczuk, PC Krause and Associates Inc; E. L. Zivi, U.S. Naval Academy In this paper, a prototype DC Zonal Electrical Distribution System (ZEDS) developed under the Naval Combat Survivability effort is considered. A model of one zone is described in detail on a component level, and is viewed as a collection of interconnected dynamical subsystems each described by a set of state equations. An innovative approach for distributing the subsystems among multiple computers is shown to result in a significant improvement in simulation speed. Moreover, when Average Value Models (AVMs) replace the detailed converter models, a faster than real-time simulation can be achieved. 2002 SAE Power Systems Conference, October 29-31, 2002, Coral Spring, FL. Paper...
Read MoreDistributed Heterogeneous Simulation of Large-Scale Dynamical Systems
C. E. Lucas, E. A. Walters, J. Jatskevich, O. Wasynczuk, PC Krause and Associates, Inc; E. Zivi, U.S. Naval Academy In this paper, a new technique useful for the numerical simulation of large-scale systems is presented. This approach enables the overall system simulation to be formed by the dynamic interconnection of the various interdependent simulations, each representing a specific component or subsystem such as control, electrical, mechanical, hydraulic, or thermal. Each simulation may be developed separately using possibly different commercial-off-the-shelf simulation programs thereby allowing the most suitable language or tool to be used based on the design/analysis needs. For the purpose of demonstration, this technique is applied to a detailed simulation of a representative naval aircraft power system, such as that found on the Joint Strike Fighter (JSF). This system is comprised of ten component models each developed using MATLAB/SimulinkTM, EASY5TM, or ACSLTM. When the ten component simulations were distributed across just four personal computers (PCs), a greater than 15-fold improvement in simulation speed (compared to the single-computer implementation) was achieved. 13th Ship Control Systems Symposium, April 7-9, 2003, Orlando,...
Read MoreCommunication Interval Selection in Distributed Heterogeneous Simulation of Large-Scale Dynamical Systems
C. E. Lucas, E. A. Walters, J. Jatskevich, O. Wasynczuk, PC Krause and Associates, Inc; P. T. Lamm, U.S. Air Force Research Laboratory In this paper, a new technique useful for the numerical simulation of large-scale systems is presented. This approach enables the overall system simulation to be formed by the dynamic interconnection of the various interdependent simulations, each representing a specific component or subsystem such as control, electrical, mechanical, hydraulic, or thermal. Each simulation may be developed separately using possibly different commercial-off-the-shelf simulation programs thereby allowing the most suitable language or tool to be used based on the design/analysis needs. These subsystems communicate the required interface variables at specific time intervals. A discussion concerning the selection of appropriate communication intervals is presented herein. For the purpose of demonstration, this technique is applied to a detailed simulation of a representative aircraft power system, such as that found on the Joint Strike Fighter (JSF). This system is comprised of ten component models each developed using MATLAB/SimulinkTM, EASY5TM, or ACSLTM. When the ten component simulations were distributed across just four personal computers (PCs), a greater than 15-fold improvement in simulation speed (compared to the single-computer implementation) was achieved. SPIE 17th Annual International Symposium AeroSense, April 22-25, 2003, Orlando, FL. and SPIE Proceedings Enabling Technologies for Simulation Science VII, vol. 5091, September 4, 2003, pp....
Read MoreAutomated State Model Generator for Simulation and Analysis of Power Electronic Systems
J. Jatskevich, University of British Columbia; O. Wasynczuk, Purdue University; C. E. Lucas, E. A. Walters, PC Krause and Associates, Inc. An algorithmic method of developing the state equations of complex power circuits and systems has recently been developed. In this approach, referred to as he Automated State Model Generator (ASMG), the system is described by the pertinent branch parameters and the circuit topology; however, unlike existing circuit-based approaches, the difference equations are not implemented at the branch level. Instead, the composite system state equations are established automatically and updated dynamically for each new topology of the switching network. Since the state equations are available, linearization, eigensystem analysis, and model-order reduction can be performed quickly and conveniently at the system level. In addition, it becomes possible to identify the operational modes of converters and inverters based on the cyclically repeated sequence of topologies. The ASMG includes a built-in switching logic for common power-electronic switching devices. The proposed simulation approach is particularly effective when modeling advanced power electronic systems that include special-purpose multi-phase electrical machines, transformers, and other components that are not available in the libraries of commonly used circuit simulators. An ASMG toolbox that is compatible with MATLAB/SIMULINK has been developed and used to implement a detailed simulation of a 6-phase generator/rectifier system. Proceedings 6th International Conference of Computational Methods for the Solution of Electrical and Electromagnetic Engineering Problems, September 10-12, 2003, Split, Croatia, WIT Press, pp....
Read MoreDistributed Heterogeneous Simulation of Naval Integrated Power Systems
E. A. Walters, C. E. Lucas, J. Jatskevich, O. Wasynczuk, PC Krause and Associates, Inc; P. T. Lamm, U.S. Air Force Research Laboratory; T. Neeves, Naval Surface Warfare Center ABSTRACT (Oleg has slide presentation.) American Society of Naval Engineers Symposium Harnessing the Power of Technology for the Warfighter, September 17, 2003, Bloomington, IN.
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