Design of Fuzzy Logic Controller for DC Motor

  • O. Andrs
  • T. Brezina
  • J. Kovar

Abstract

This contribution presents a simple and efficient approach to the fuzzy logic controller design and simulation. The proposed controller uses a Sugeno type fuzzy inference system (FIS) which is derived from discrete position state-space controller with an input integrator. The controller design method is based on anfis (adaptive neuro-fuzzy inference system) training routine. It utilizes a combination of the least-squares method and the backpropagation gradient descent method for training FIS membership function parameters to emulate a given training data set. The proposed fuzzy logic controller is used for the position control of a linear actuator which is a part of a Stewart platform.

Keywords

Membership Function Fuzzy Inference System Parallel Manipulator Fuzzy Logic Controller Linear Actuator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • O. Andrs
    • 1
  • T. Brezina
    • 1
  • J. Kovar
    • 1
  1. 1.Faculty of Mechanical Engineering, Institute of Automation and Computer ScienceBrno University of TechnologyBrnoCzech Republic

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