Multicriteria Fuzzy Control

Article type: Research Article

Authors: Kim, Kwang-Choon | Kim, Jong-Hwan

Affiliations: Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yusung-gu, Taejon-shi 305-701, Republic of Korea

Abstract: In this article, we propose a multicriteria fuzzy control (MFC) based on fuzzy measures and fuzzy integrals. The basic idea underlying this approach is based on analyzing the source of attributes of the system output response and applying the fuzzy measure and integral theory to the existing fuzzy control. With this scheme, we can tune the three attributes of rise time, overshoot, and settling time of the output response. We demonstrate that MFC has excellent control performance compared to conventional fuzzy control by computer simulations as well as via experiments performed on a DC servomotor angular position control. Moreover, our scheme can be easily implemented in practice simply by adding weight terms to existing fuzzy rules and assigning the weight to each rule by employing the fuzzy measure and integral.

DOI: 10.3233/IFS-1994-2307

Journal: Journal of Intelligent and Fuzzy Systems, vol. 2, no. 3, pp. 279-288, 1994