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


[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication


Published in

Poznan University of Technology Academic Journals. Electrical Engineering

Journal year: 2017 | Journal number: Issue 91

Article type

scientific article

Publication language


  • state observers
  • DSP
  • object-oriented programming technique C++
  • electric drive
  • elastic coupling
  • dual-mass system

EN 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.

Pages (from - to)

395 - 406



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