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

Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu

Research output: Contribution to conferencePaper

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
Pages711-716
Number of pages6
Publication statusPublished - 2004 Dec 1
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6

Conference

ConferenceSICE Annual Conference 2004
CountryJapan
CitySapporo
Period04/8/404/8/6

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Hussein, A., Hirasawa, K., & Hu, J. (2004). Studying the stability of a robust PV-supplied DC motor by universal learning networks. 711-716. Paper presented at SICE Annual Conference 2004, Sapporo, Japan.