Multicriteria fuzzy control and its application to DC servomotor position control

Abstract

In this paper, we present a multicriteria fuzzy controller (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 responses and applying the fuzzy measure and integral theory to the existing fuzzy controllers. By this scheme, we can tune the three attributes including rise time, overshoot, and settling time of the output responses. We demonstrate that MFC have superior control performance compared to conventional fuzzy controller by computer simulations as well as via experiments performed on a DC servomotor position control. Moreover, our scheme can be easily implemented in practice simply by adding weight terms to an existing fuzzy rules and assigning the weight to each rule by employing the fuzzy measure and integral.