Object

Title: Object-oriented DSP implementation of neural state estimator for electrical drive with elastic coupling

Abstract:

The study presents results and procedure of object-oriented and test-driven implementation of neural-network-based state estimator. The presented algorithm has been developed for estimation of the state variables of the mechanical part of electric drive with elastic coupling. Estimated state variables – load speed and shaft stiffness torque – can be used in speed control process for reducing mechanical vibrations of working machine. The basic objective was to create a simple, extensible and readable program code, performing the task of state estimation of the considered system. The target platform is a DSP (Digital Signal Processor) from SHARC (Super Harvard architecture Single-Chip Computer) family, which allows for hardware acceleration of matrix operations. The IDE (Integrated Development Environment) available for the selected platform made it possible to write program in C++. The usage of UML (Unified Modelling Language) in the development of control software was discussed.

Publisher:

Publishing House of Poznan University of Technology

Identifier:

oai:repozytorium.put.poznan.pl:444907

ISBN/ISSN:

1897-0737

DOI:

10.21008/j.1897-0737.2017.91.0036

Language:

pol ; eng

Relation:

Strona czasopisma Politechnika Poznańska Wydział Elektryczny i Instytut Elektrotechniki i Elektroniki Przemysłowej

Rights Management:

Politechnika Poznańska

Format:

pp. 395-406

Rights:

wszystkie prawa zastrzeżone

Access rights:

dla wszystkich w zakresie dozwolonego użytku

Rights holder:

Politechnika Poznańska

Digital object format:

application/pdf

Object collections:

Last modified:

Jul 20, 2018

In our library since:

Jul 20, 2018

Number of object content hits:

20

Number of object content views in PDF format

11

All available object's versions:

http://repozytorium.put.poznan.pl/publication/537225

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