Scientific papers details

  • Neuro-Fuzzy Controller Design for a Dc Motor Drive
  • year : 2013
  • How to cite : , 2013 , 3-1 (1) ,pp: 7-11
  • Abstract : This paper presents a neuro-fuzzy controller design for speed control of DC motor. The most commonly used controller for the speed control of dc motor is the conventional Proportional-Integral-Derivative (PID) controller. The PID controller has some disadvantages like: high overshoot, sensitivity to controller gains and slow response. Fuzzy control and neuro-fuzzy control are proposed in this study. The performances of the two controllers are compared with PID controller performance. In this paper, neural networks are used in a novel way to solve the problem of tuning a fuzzy logic controller. The neuro fuzzy controller uses neural network learning techniques to tune membership functions. For the speed control of dc motor drives, it is observed that neuro-fuzzy controller gives a better response compared to other controllers.
  • Author :
  • References :

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