A new sliding-mode control with fuzzy boundary layer

Heejin Lee, Euntai Kim, Hyung Jin Kang, Mignon Park

Research output: Contribution to journalArticlepeer-review

79 Citations (Scopus)


This study develops a sliding-mode controller based on fuzzy variable boundary layer with a control gain and boundary layer thickness as design parameters. The control gain is an important factor affecting the control performance of variable structure system (VSS). Sliding-mode controllers based on a variable boundary layer are superior to the fixed-layer method for tracking. In order to regulate the design parameters and increase operating efficiency, the proposed methodologies make use of fuzzy inference which reduces the number of fuzzy inputs. By using fuzzy algorithms in choosing a control gain and boundary layer, we propose methods which have better tracking performance than the conventional method. Finally, the results of simulation are given to demonstrate the validity of this algorithm.

Original languageEnglish
Pages (from-to)135-143
Number of pages9
JournalFuzzy Sets and Systems
Issue number1
Publication statusPublished - 2001 May 16

All Science Journal Classification (ASJC) codes

  • Logic
  • Artificial Intelligence


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