An efficient fuzzy controlled system for superconducting magnetic energy storage unit

Abstract

Superconducting magnetic energy storage (SMES) controllers must be capable of providing appropriate stabilizing signals to the power system over a broad range of operating conditions and disturbances. Traditional SMES controllers rely greatly on robust linear design methods. Recently, control methods using fuzzy logic have shown promising results. These fuzzy logic controllers (FLCs) are based on empirical rules. In this paper a systematic approach for FLC design is proposed. The membership functions of input-output variables are generated on-line, applicable to any type of disturbance. The performance of the proposed control is compared with an eigenvalue based traditional PI controller, and simulation results are presented and discussed. © 1998 Elsevier Science Ltd.