Design of a HONN (high order neural network) by using a DSP based system for the performance increasing of an induction motor under changeable load

K. Gulez, N. Mutoh, F. Harashima, K. Ohnishi, H. Pastaci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Motor drives are traditionally designed with relatively inexpensive analog components. The weaknesses of analog systems are their susceptibility to temperature variations and the component aging. Another difficulty is upgrading the system for new needs. Digital control structures eliminate drifts, solve complex mathematical equations and, by using a programmable processor, can be easily upgraded for new control algorithms. Digital signal processors (DSP) go further; their high performance allows them to perform high resolution control and minimize control loop delays. By the help of their fast processor which works parallel, many complicated control algorithms can be implemented easily. With the importance of digital control structures, it was used a TMS320C50 processor board to implement the dynamic speed controller to induction motor. Also, it was used to increase the performance a HONN (high order neural network) structure in the ANN (artificial neural network) architecture in a very short time.

Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Computer Society
Pages2315-2320
Number of pages6
Volume1
DOIs
Publication statusPublished - 2000

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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    Gulez, K., Mutoh, N., Harashima, F., Ohnishi, K., & Pastaci, H. (2000). Design of a HONN (high order neural network) by using a DSP based system for the performance increasing of an induction motor under changeable load. In IECON Proceedings (Industrial Electronics Conference) (Vol. 1, pp. 2315-2320). [972359] IEEE Computer Society. https://doi.org/10.1109/IECON.2000.972359