Fuel flow control through a fuzzy servomechanism: a comparative analysis

  • Authors

    • Victor Castano Universidad Nacional Autonoma de Mexico
    • Domingo Rangel-Miranda
    • Daniel Alaniz-Lumbreras
    • Ernesto Olvera-Gonzálezb
    2014-10-24
    https://doi.org/10.14419/ijet.v3i4.3049
  • Expert System, Fuel Control Schemes, Fuel Flow Supply, Fuzzy Logic Control, Rule-Based Control.

  • Abstract

    The evaluation of a fuzzy expert positioning servomechanism that was applied for controlling fuel flow in an experimental process is presented. Since the conventional control techniques are not sufficient to implement nonlinear control systems, a successful control technique based on human experience was used. A comparative study was made by both Fuzzy Logic Control (FLC) and Proportional Integral Derivative (PID) control algorithms. Fuzzy Logic and PID controllers were designed in Lab view program. The real-time position control which consists of a DC motor into a servomechanism was implemented by using a digital acquisition device (DAQ). The experimental results show that step response and semicircular trajectory on the position servomechanism for controlling fuel using FLC, had a better performance than those derived from PID control scheme.

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  • How to Cite

    Castano, V., Rangel-Miranda, D., Alaniz-Lumbreras, D., & Olvera-Gonzálezb, E. (2014). Fuel flow control through a fuzzy servomechanism: a comparative analysis. International Journal of Engineering & Technology, 3(4), 506-511. https://doi.org/10.14419/ijet.v3i4.3049

    Received date: 2014-06-17

    Accepted date: 2014-07-26

    Published date: 2014-10-24