• DocumentCode
    2729806
  • Title

    Multisensor based power diagnosis system for an intelligent robot

  • Author

    Luo, Ren C. ; Su, K.L. ; Deng, Chi W.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Chen Univ., Ming-Hsiung, Taiwan
  • Volume
    3
  • fYear
    2003
  • fDate
    2-6 Nov. 2003
  • Firstpage
    2500
  • Abstract
    This paper presents a power supply diagnosis system using redundant managed sensors method detection for intelligent security robot. The power system of the security robot we have developed in our lab. Consists of three parts, namely, computer power, drive motor power and circuit system power. We intend to detect the current value and diagnose the fault sensors of the power system. In this paper, we focus on the PC power supply, and we use eight current sensors to detect the current variety of the PC power and diagnose which sensor to be fault. First, we use computer simulation and implement it in the industry standard PC using A/D converter card. Next, we use the diagnosis algorithm in order to design the agent-based power supply system using microprocessor. Finally, we implement the proposed method in the PC power system of the intelligent security robot.
  • Keywords
    control engineering computing; fault diagnosis; intelligent robots; power convertors; power engineering computing; power supplies to apparatus; software agents; circuit system power; computer power; current sensors; drive motor power; fault sensors; intelligent security robot; microprocessor; multisensor; power supply diagnosis system; Circuit faults; Electrical fault detection; Fault detection; Intelligent robots; Intelligent sensors; Power supplies; Power system faults; Power system security; Robot sensing systems; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
  • Print_ISBN
    0-7803-7906-3
  • Type

    conf

  • DOI
    10.1109/IECON.2003.1280638
  • Filename
    1280638