Studying the stability of a robust PV-supplied DC motor by universal learning networks

Ahmed Hussein, Kotaro Hirasawa, Takayuki Furuzuki

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

1 Citation (Scopus)

Abstract

In this paper, a new robust control method and stability analysis method using the higher order derivatives (HODs) of universal learning networks (ULNs) is discussed. The application of these two methods to a Photovoltaic (PV) supplied, separately-excited DC motor with a constant load torque is also studied. The simulation results of the proposed robust control and stability analysis method showed that the robustness of the DC motor system is improved and its stability can be analyzed easily.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages711-716
Number of pages6
Publication statusPublished - 2004
EventSICE Annual Conference 2004 - Sapporo
Duration: 2004 Aug 42004 Aug 6

Other

OtherSICE Annual Conference 2004
CitySapporo
Period04/8/404/8/6

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Keywords

  • DC motors
  • PV generators
  • Robust control
  • Stability analysis
  • Universal learning networks

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hussein, A., Hirasawa, K., & Furuzuki, T. (2004). Studying the stability of a robust PV-supplied DC motor by universal learning networks. In Proceedings of the SICE Annual Conference (pp. 711-716). [TAI-1-3]