Automatic Nonlinear Behavioral Model Generation Using Symbolic Circuit Analysis
Pp. 305-341 (37)
Ralf Sommer, Eckhard Hennig, Gregor Nitsche, Jochen Broz and Peter Schwarz
Abstract
The aim of symbolic analysis that has its origin in the design of analog
circuits is the extraction of dominant system behavior by automated derivation of
approximated symbolic formulas. Since exact symbolic analysis will yield exceptionally
complex expressions even for rather small systems a class of symbolic approximation
techniques has been developed that allow a reduction of the complexity of symbolic
equations and their later solution by means of mixed symbolic and numerical strategies.
Hence, it becomes possible to reduce the underlying nonlinear Differential-Algebraic
systems of Equations (DAE systems) of component-based networks and systems to a
behavioral description of a predefined accuracy. So it is a major advantage of the
approach that the model simplification is performed by an automatic error control and
that the simplified models are physically interpretable again. The contribution will give
an overview of the symbolic tool Analog Insydes algorithms for extraction of dominant
behavior of linear systems, as well as algorithms for generating behavioral models from
nonlinear DAEs. Moreover, the underlying methodology has been extended to the
application of analysis and modeling in non-electrical domains (e.g. gas-pipeline nets)
and for multi-physical (e.g. mixed electrical and mechanical) systems. For the latter a
library was developed in cooperation with the Fraunhofer IIS/EAS for symbolic models
of micro-mechanical elements that can be connected to networks including electrical
components as well.
Keywords:
behavioral modeling, automated behavioral model generation, symbolic analysis,
nonlinear symbolic circuit equation, DAE system (differential algebraic equations), MNA (modified
nodal analysis), STA (sparse tableau analysis), lumped element representation, symbolic
approximation, model reduction, term cancellation, term ranking, multi-physical system,
heterogeneous system, conservative system, electrical system, mechatronic system, micromechanical
acceleration sensor, Analog Insydes.
Affiliation:
Ilmenau University of Technology and Institute for Microelectronic and Mechatronic Systems GmbH, Germany
