• DocumentCode
    2776407
  • Title

    The application of electro-rheological technology on electro-hydraulic braking control system

  • Author

    Hou, Shuping ; Chen, Qi ; Su, Xiaoqin

  • Author_Institution
    Sch. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    5507
  • Lastpage
    5510
  • Abstract
    Computation software package realizes modularity design of modeling for new high performance materials applied to electrical engineering for the first time. Using fuzzy neural networks control (FNNC), the assumption of self-learning function is realized. This software package provides theoretical basis and device performance simulation methods for these materials application. The electro-rheological (ER) technology is as a novel frontier science with so many superior advantages and applications which has been given much attention to all over the world. The requirements for ER fluid´s substitution to traditional hydraulic oil are brought forward based on theory of ER effect and principle of engineering application. The control equation of ER valve is derived, and model of ER valve-cylinder actuator is constructed. A position control system based on ER valve-bridge actuator is simulated, and the performance of a hydraulic bridge circuit using for electro-rheological valves is analyzed. The simulation results show that the system has good dynamic performance.
  • Keywords
    electrohydraulic control equipment; electrorheology; fuzzy control; fuzzy neural nets; intelligent materials; neurocontrollers; position control; self-adjusting systems; software packages; valves; computation software package; electrohydraulic braking control system; electrorheological technology; electrorheological valves; fuzzy neural networks control; hydraulic bridge circuit; modularity design; self-learning function; valve-bridge actuator; Application software; Circuit simulation; Control systems; Electrical engineering; Erbium; Fuzzy control; Fuzzy neural networks; High performance computing; Software packages; Valves; ER-valve; bridge structure; electro-hydraulic braking control system; electro-rheological technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191591
  • Filename
    5191591