Dynamic Simulation of High-Power Machinery Systems

Posted by admin on Oct 24, 2009 in Contracts, Electric Machine, Paul Krause, Power Systems, SBIR Phase I, SBIR Phase II | 0 comments

Type of Awards: SBIR Phase I and Phase II

Contract Numbers: N61533-95-C-0107 and N00024-97-C-4097

Agency: U.S. Naval Surface Warfare Center and U.S. Naval Sea Command

Status: Completed

Periods: 8/23/95 to 6/30/96 and 3/13/97 to 5/1/99

Principal Investigators: Paul Krause and Steve Pekarek

Phase III: Dynamic Simulation of High-Power Machinery Systems; N00167-99-D-0100, Subcontracted: Purdue and PCKA

Abstract: Over the past 7-8 years, PCKA has been heavily involved in the analysis and simulation of power/drive systems. This work has been done through SBIR’s and level-of-effort contracts for the Navy, Air Force, NASA, and, to a lesser extent, the Army. Considerable focus has been on developing models and modeling techniques. A major breakthrough by PCKA/Purdue, which has the potential of revolutionizing power/drive system analysis and simulation, has been the automatic state matrix generator as a “front end” to a differential-equation-based simulation language (ACSL). This state model generator (SMG) offers the potential of (1) a circuit-based input to a equation-based language (2) convenient and economical simulations, (3) automatic state-space averaging, (4) semi-automatic nonlinear reduced-order modeling, (5) automatic modal reduction, and (6) automatic model connection. Although all these features are promising concepts, none have been developed to the extent necessary for convenient utilization. The focus of the proposed work is to continue research toward the development of these techniques in ACSL and to make the SMG and the associate techniques compatible with MATLAB. The overall objective is to develop a user-interactive system modeler which will lead the system analyst through the steps to implement a system model making use of the potential offered by the SMG. Focus will be on the Navy IPS; however, this work will be valid for the power/drive systems being used or considered by other agencies. Moreover, this work not only represents a breakthrough in simulation, it also automatically provides the mathematical structure to analyze and develop linear and nonlinear controls for power/drive systems. Although the control aspects are not topics of the proposed work, the guidelines for the mathematical structure appropriate for analysis and design of nonlinear system controls will naturally evolve.