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Identifcation and Observation of Mechatronic Systems with unknown Nonlinear Dynamic Functions
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| Author(s) |
D. Schroeder; S. Hofmann; T. Treichl |
| Abstract |
In this article a new approach to identify and observe mechatronic systems is presented. This
approach deals with complex nonlinear dynamic systems and is based on the idea, that the
total system can be split into a well-known dynamic subsystem and an unknown nonlinear
dynamic subsystem. The identification algorithm of the unknown subsystem is derived from
the Volterra theory. The original identification technique, which is restricted to systems with
a single input and a single output (SISO), is extended to systems with multiple inputs and a
single output (MISO). Furthermore the identification algorithm is enhanced with a normalized
radial basis function network in order to approximate complex nonlinear static functions within
the unknown subsystem. Finally the identification algorithm is implemented into an observer
in order to cope with globally integrating systems. In this manner the identification algorithm
becomes practicable for mechatronic systems, e.g. nonlinear motion systems. |
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| Filename: | EPE-PEMC2002 - T7-002 - SchrAeoder.pdf |
| Filesize: | 744 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-05-13 by System |
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