Actuator Fault-Tolerant Control Using a Spiking Neuron Model

DOI オープンアクセス

説明

This paper presents a new design method for a self-repairing control system (SRCS) as an actuator fault-tolerant control system (FTCS). The proposed SRCS uses the well-known Izhikevich spiking neuron model as a fault detector. When the actuator fails, the neuron model is excited and then spikes occurs. Thus, counting up spikes makes it possible to find failures. Compared with the existing active FTCSs, the proposed method has the following advantages: (1) it is possible to set a maximum detection time in advance, and (2) the structure of the control system does not depend on the mathematical model of the plant. It is quite simple even if the plants have high orders. In this paper, several numerical simulation results are shown to confirm the effectiveness of the proposed SRCS.

収録刊行物

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詳細情報 詳細情報について

  • CRID
    1390565134830176384
  • DOI
    10.5954/icarob.2020.os12-4
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
    • OpenAIRE
  • 抄録ライセンスフラグ
    使用不可

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