Open AccessFuel flow control through a fuzzy servomechanism: a comparative analysis
Author(s) -
V. M. Castaño,
Domingo Rangel-Miranda,
Daniel Alaníz-Lumbreras,
Ernesto Olvera-González
Publication year - 2014
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v3i4.3049
Subject(s) - servomechanism , pid controller , control theory (sociology) , control engineering , fuzzy logic , engineering , fuzzy control system , servomotor , control system , servo , position (finance) , computer science , control (management) , artificial intelligence , temperature control , mechanical engineering , economics , electrical engineering , finance
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.