Direct adaptive fuzzy logic controller with self-tuning input scaling factors

Ibrahim Beklan Kucukdemiral, Galip Cansever, Gulderen Yildirmaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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It is well known that in a fuzzy logic controller real problem lies on designing the rule base and choosing the input and output scaling factors. In this paper direct adaptive fuzzy logic controller with self-tuning scaling factors is proposed. The adaptive mechanism tunes the rule base of the fuzzy controller in order to improve the performance whereas another fuzzy controller adjust the input scaling factors for a better control performance. In order to demonstrate the
validity of the proposed controller, the algorithm is applied to a servo-system which includes a PMDC motor and a non-linear load. Experimental results show that a remarkable performance is achieved when it is compared with a conventional fuzzy –PI controller.
Original languageEnglish
Title of host publication4th Asian Control Conference : September 25-27, 2002, Singapore : conference proceedings
PublisherCausal Productions [for ASCC]
Number of pages6
ISBN (Electronic)9789810464400
Publication statusPublished - 2002


  • fuzzy logic controller
  • PMDC motor
  • scaling factors


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