• DocumentCode
    436592
  • Title

    The embedded machine arm controller design of type MRC in neural network application

  • Author

    Mao-Lin Chen ; Liang, Hui-Yi ; Wen-Fang Hsieh

  • Author_Institution
    Chenkuo Inst. of Technol., Taiwan, China
  • Volume
    2
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    1566
  • Abstract
    At present, industry uses robots for better control. The program database needed is extremely huge, so it is not easy to learn and operate by the personnel. The use of robots turns the humanization operation simple, and price rationalization can be applied more extensively. This thesis draws up to put forward a type of the Embedded MRC network application of nerve theories. It goes into the type Atmega16 of IC microprocessor control of machine arm design, by the mode reference control (MRC) the structure of a nerve network. Through training we can drive the machine arm to make the accurate position control. This paper describes, the design of a PC appearance to make the sketch editor that the diagram control, to revise each axial position control in machine arm through the diagram easily. Design principles that control ascends make valid Embedded go into type design. In actual situation the design ability promote and simplify the control of the robot order through the RS232.
  • Keywords
    industrial robots; machine control; microprocessor chips; model reference adaptive control systems; neurocontrollers; position control; servomotors; IC microprocessor control; RS2323; diagram control; embedded machine arm controller design; mode reference control; nerve theories; neural network application; position control; type MRC; Control systems; Embedded software; Embedded system; Intelligent networks; Medical robotics; Microprocessors; Neural networks; Orbital robotics; Robotics and automation; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1441628
  • Filename
    1441628