• DocumentCode
    31112
  • Title

    Fully pipelined CORDIC-based inverse kinematic FPGA design for biped robots

  • Author

    Rih-Lung Chung ; Yi-Qin Zhang ; Shih-Lun Chen

  • Author_Institution
    Dept. of Electron. Eng., Chung Yuan Christian Univ., Taoyuan, Taiwan
  • Volume
    51
  • Issue
    16
  • fYear
    2015
  • fDate
    8 6 2015
  • Firstpage
    1241
  • Lastpage
    1243
  • Abstract
    A high-speed field-programmable gate array (FPGA) design is proposed to calculate angles and distances for biped robots in real time. A low-complexity and high-accuracy hardware-oriented algorithm based on CORDIC was developed. To reduce hardware cost, a hardware sharing technique was used to realise a CORDIC scaling factor generator and three hardware sharing machines. Moreover, the multipliers and dividers were replaced by cost-efficiency components, such as adders and shifters to further reduce hardware cost. In addition, the proposed design was implemented with a fully pipelined architecture, which achieved improved operating frequency and throughput efficiency. The proposed design was realised and verified by an FPGA device with a maximum operating frequency of 127 MHz, which achieved the calculation of angles and distances for biped robots in real time. Compared with the previous design, this work not only reduced hardware cost by at least 49.6% and average errors by at least 67.2%, but also improved the average executing performance by 62.7% when calculating ten angles for the biped robots.
  • Keywords
    adders; digital arithmetic; field programmable gate arrays; legged locomotion; logic design; shift registers; CORDIC scaling factor generator; adders; biped robots; coordinate rotation digital computer; cost-efficiency components; fully pipelined CORDIC-based inverse kinematic FPGA design; hardware sharing technique; high-speed field-programmable gate array; shifters;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2015.1604
  • Filename
    7175172